A Philosopher's Blog

Lessons from Gaming #2: Random Universe

Posted in Epistemology, Metaphysics, Philosophy by Michael LaBossiere on October 22, 2014
Call of Cthulhu (role-playing game)

Call of Cthulhu (role-playing game) (Photo credit: Wikipedia)

My experiences as a tabletop and video gamer have taught me numerous lessons that are applicable to the real world (assuming there is such a thing). One key skill in getting about in reality is the ability to model reality. Roughly put, this is the ability to get how things work and thus make reasonably accurate predictions. This ability is rather useful: getting how things work is a big step on the road to success.

Many games, such as Call of Cthulhu, D&D, Pathfinder and Star Fleet Battles make extensive use of dice to model the vagaries of reality. For example, if your Call of Cthulhu character were trying to avoid being spotted by the cultists of Hastur as she spies on them, you would need to roll under your Sneak skill on percentile dice. As another example, if your D-7 battle cruiser were firing phasers and disruptors at a Kzinti strike cruiser, you would roll dice and consult various charts to see what happened. Video games also include the digital equivalent of dice. For example, if you are playing World of Warcraft, the damage done by a spell or a weapon will be random.

Being a gamer, it is natural for me to look at reality as also being random—after all, if a random model (gaming system) nicely fits aspects of reality, then that suggests the model has things right. As such, I tend to think of this as being a random universe in which God (or whatever) plays dice with us.

Naturally, I do not know if the universe is random (contains elements of chance). After all, we tend to attribute chance to the unpredictable, but this unpredictability might be a matter of ignorance rather than chance. After all, the fact that we do not know what will happen does not entail that it is a matter of chance.

People also seem to believe in chance because they think things could have been differently: the die roll might have been a 1 rather than a 20 or I might have won the lottery rather than not. However, even if things could have been different it does not follow that chance is real. After all, chance is not the only thing that could make a difference. Also, there is the rather obvious question of proving that things could have been different. This would seem to be impossible: while it might be believed that conditions could be recreated perfectly, one factor that can never be duplicated – time. Recreating an event will be a recreation. If the die comes up 20 on the first roll and 1 on the second, this does not show that it could have been a 1 the first time. All its shows is that it was 20 the first time and 1 the second.

If someone had a TARDIS and could pop back in time to witness the roll again and if the time traveler saw a different outcome this time, then this might be evidence of chance. Or evidence that the time traveler changed the event.

Even traveling to a possible or parallel world would not be of help. If the TARDIS malfunctions and pops us into a world like our own right before the parallel me rolled the die and we see it come up 1 rather than 20, this just shows that he rolled a 1. It tells us nothing about whether my roll of 20 could have been a 1.

Of course, the flip side of the coin is that I can never know that the world is non-random: aside from some sort of special knowledge about the working of the universe, a random universe and a non-random universe would seem exactly the same. Whether my die roll is random or not, all I get is the result—I do not perceive either chance or determinism. However, I go with a random universe because, to be honest, I am a gamer.

If the universe is deterministic, then I am determined to do what I do. If the universe is random, then chance is a factor. However, a purely random universe would not permit actual decision-making: it would be determined by chance. In games, there is apparently the added element of choice—I chose for my character to try to attack the dragon, and then roll dice to determine the result. As such, I also add choice to my random universe.

Obviously, there is no way to prove that choice occurs—as with chance versus determinism, without simply knowing the brute fact about choice there is no way to know whether the universe allows for choice or not. I go with a choice universe for the following reason: If there is no choice, then I go with choice because I have no choice. So, I am determined (or chanced) to be wrong. I could not choose otherwise. If there is choice, then I am right. So, choosing choice seems the best choice. So, I believe in a random universe with choice—mainly because of gaming. So, what about the lessons from this?

One important lesson is that decisions are made in uncertainty: because of chance, the results of any choice cannot be known with certainty. In a game, I do not know if the sword strike will finish off the dragon. In life, I do not know if the investment will pay off. In general, this uncertainty can be reduced and this shows the importance of knowing the odds and the consequences: such knowledge is critical to making good decisions in a game and in life. So, know as much as you can for a better tomorrow.

Another important lesson is that things can always go wrong. Or well. In a game, there might be a 1 in 100 chance that a character will be spotted by the cultists, overpowered and sacrificed to Hastur. But it could happen. In life, there might be a 1 in a 100 chance of a doctor taking precautions catching Ebola from a patient. But it could happen. Because of this, the possibility of failure must always be considered and it is wise to take steps to minimize the chances of failure and to also minimize the consequences.

Keeping in mind the role of chance also helps a person be more understanding, sympathetic and forgiving. After all, if things can fail or go wrong because of chance, then it makes sense to be more forgiving and understanding of failure—at least when the failure can be attributed in part to chance. It also helps in regards to praising success: knowing that chance plays a role in success is also important. For example, there is often the assumption that success is entirely deserved because it must be the result of hard work, virtue and so on. However, if success involves chance to a significant degree, then that should be taken into account when passing out praise and making decisions. Naturally, the role of chance in success and failure should be considered when planning and creating policies. Unfortunately, people often take the view that both success and failure are mainly a matter of choice—so the rich must deserve their riches and the poor must deserve their poverty. However, an understanding of chance would help our understanding of success and failure and would, hopefully, influence the decisions we make. There is an old saying “there, but for the grace of God, go I.” One could also say “there, but for the luck of the die, go I.”

 

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#Gamergate, Video Game Wars, & Evil

Posted in Ethics, Philosophy, Video Games by Michael LaBossiere on October 20, 2014

As a gamer, philosopher and human being, I was morally outraged when I learned of the latest death threats against Anita Sarkeesian. Sarkeesian, who is well known as a moral critic of the misogynistic rot defiling gaming, was scheduled to speak at Utah State University. Emails were sent that threatened a mass shooting if her talk was not cancelled. For legal reasons, the University was not able to prevent people from being weapons to the talk, so Sarkeesian elected to cancel her talk because of concerns for the safety of the audience.

This incident is just the latest in an ongoing outpouring of threats against women involved in gaming and those who are willing to openly oppose sexism and misogyny in the gaming world (and in the real world). Sadly, this sort of behavior is not surprising and it is part of two larger problems: internet trolling and misogyny.

As a philosopher, I am in the habit of arguing for claims. However, there seems to be no need to argue that threatening women with violence, rape or death because they are opposed to misogyny in gaming and favor more inclusivity in gaming is morally wicked. It is also base cowardice in many cases: those making the threats often hide behind anonymity and spew their vile secretions from the shadows of the internet. That such people are cowards is not a shock: courage is a virtue and these are clearly people who are strangers to virtue. When they engage in such behavior on the internet, they are aptly named trolls. Gamers know the classic troll as a chaotic evil creature of great rage and little intellect, which tends to fit the internet troll reasonable well. But, the internet troll can often be a person who is not actually committed to the claims he is making. Rather, his goal is typically to goad others and get emotional responses. As such, the troll will pick his tools with a calculation to the strongest emotional impact and these tools will thus include racism, sexism and threats. There are those who go beyond mere trolling—they are the people who truly believe in the racist and sexist claims they make. They are not using misogynist and racist claims as tools—they are speaking from their rotten souls. Perhaps these creatures should be called demons rather than trolls.

While the moral right to free expression does include the saying of awful and evil things, a person should not say such things. This should not be punishable by the law (in most cases), but should be regarded as immoral actions. Matters change when threats are involved. Good sense should be used when assessing threats. After all, people Tweet and post from unthinking anger and without true intent. There are also plenty of expressions that seem to promise violence, but are also used as expressions of anger. For example, people say “I could kill you” even when they actually have no intent of doing so. However, people do make threats that have real intent behind them. While the person might not actually intend to commit the threatened act (such as murder or rape), there can be an intent to psychologically harm and harass the target and this can do real harm. When I contributed my work on fallacies to a site devoted to responding to holocaust deniers I received a few random threats. I was not too worried, but did have a feeling of cold anger when I read the emails. My ex-wife, who was a feminist philosopher, received the occasional threats and I was certainly worried for her. As such, I have some very limited understanding of what it would be like receiving threats and how this can impact a person’s life. Inflicting such a harm on an individual is wrong and legal sanctions should be taken in such cases. There is a right to express ideas, but not a right to threaten, abuse and harass. Especially in a cowardly manner from the shadows.

As might be suspected, I am in support of increasing the involvement of women in gaming and I favor removing sexism from games. My main reason for supporting more involvement of women in gaming is the same reason I would encourage anyone to game: I think it is fun and I want to share my beloved hobby with people. There is also the moral motivation: such exclusion is morally repugnant and unjustified. If there are any good arguments against women being more involved in playing and creating games, I would certainly be interested in seeing them. But, I am quite sure there are none—if there were, people would be presenting those rather than screeching hateful threats from their shadowed caves.

As far as removing sexism from video games, the argument for that is easy and obvious. Sexism is morally wrong and games that include it would thus be morally wrong. Considering the matter as a gamer and an author of tabletop RPG adventures, I would contend that the removal of sexist elements would improve games and certainly not diminish their quality. True, doing so might rob the sexists and misogynists of whatever enjoyment they get from such things, but this is not a loss that is even worthy of consideration. In this regard, it is analogous to removing racist elements from games—the racist has no moral grounds to complain that he has been wronged by the denial of his opportunity to enjoy his racism.

I do, of course, want to distinguish between sexual elements and sexism. A game can have sexual elements without being sexist—although there can be a fine line between the two. I am also quite aware that games set in sexist times might require sexist elements when recreating those times. So, for example, a WWII game that has just male generals need not be sexist (although it would be reflecting the sexism of the time). Also, games can legitimately feature sexist non-player characters, just as they can legitimately include racist characters and other sorts of evil traits. After all, villains need to be, well, villains.

 

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Asteroid Mining & Death from Above

Posted in Business, Ethics, Law, Philosophy, Science by Michael LaBossiere on October 17, 2014

Having written before on the ethics of asteroid mining, I thought I would return to this subject and address an additional moral concern, namely the potential dangers of asteroid (and comet) mining. My concern here is not with the dangers to the miners (though that is obviously a matter of concern) but with dangers to the rest of us.

While the mining of asteroids and comets is currently the stuff of science fiction, such mining is certainly possible and might even prove to be economically viable. One factor worth considering is the high cost of getting material into space from earth. Given this cost, constructing things in space using material mined in space might be cost effective. As such, we might someday see satellites built right in space from material harvested from asteroids. It is also worth considering that the cost of mining materials in space and shipping them to earth might also be low enough that space mining for this purpose would be viable. If the material is expensive to mine or has limited availability on earth, then space mining could thus be viable or even necessary.

If material mined in space is to be used on earth, the obvious problem is how to get the material to the surface safely and as cheaply as possible. One approach is to move an asteroid close to the earth to facilitate mining and transportation—it might be more efficient to move the asteroid rather than send mining vessels back and forth. One obvious moral concern about moving an asteroid close to earth is that something could go wrong and the asteroid could strike the earth, perhaps in a populated area. Another obvious concern is that the asteroid could be intentionally used as a weapon—perhaps by a state or by non-state actors (such as terrorists). An asteroid could do considerable damage and would provide a “clean kill”, that is it could do a lot of damage without radioactive fallout or chemical or biological residue. An asteroid might even “accidentally on purpose” be dropped on a target, thus allowing the attacker to claim that it was an accident (something harder to do when using actual weapons).

Given the dangers posed by moving asteroids into earth orbit, this is clearly something that would need to be carefully regulated. Of course, given humanity’s track record accidents and intentional misuse are guaranteed.

Another matter of concern is the transport of material from space to earth. The obvious approach is to ship material to the surface using some sort of vehicle, perhaps constructed in orbit from materials mined in space. Such a vehicle could be relatively simple—after all, it would not need a crew and would just have to ensure that the cargo landed in roughly the right area. Another approach would be to just drop material from orbit—perhaps by surrounding valuable materials with materials intended to ablate during the landing and with a parachute system for some basic braking.

The obvious concern is the danger posed by such transport methods. While such vehicles or rock-drops would not do the sort of damage that an asteroid would, if one crashed hard into a densely populated area (intentionally or accidentally) it could do considerable damage. While such crashes will almost certainly occur, there does seem to be a clear moral obligation to try to minimize the chances of such crashes. The obvious problem is that such safety matters would tend to increase cost and decrease convenience. For example, having the landing zones in unpopulated areas would reduce the risk of a crash into an urban area, but would involve the need to transport the materials from these areas to places where it can be processed (unless the processing plants are built in the zone). As another example, payload sizes might be limited to reduce the damage done by crashes. As a final example, the vessels or drop-rocks might be required to have safety systems, such as backup parachutes. Given that people will cut costs and corners and suffer lapses of attention, accidents are probably inevitable. But they should be made less likely by developing rational regulations. Also of concern is the fact that the vessels and drop-rocks could be used as weapons (as a rule, any technology that can be used to kill people will be used to kill people). As such, there will need to be safeguards against this. It would, for example, be rather bad if terrorist were able to get control of the drop system and start dropping vessels or drop-rocks onto a city.

Despite the risks, if there is profit to be made in mining space, it will almost certainly be done. Given that the resources on earth are clearly limited, access to the bounty of the solar system could be good for (almost) everyone. It could also be another step form humanity away from earth and towards the stars.

 

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Voter Fraud Prevention or Voter Suppression

Posted in Ethics, Philosophy, Politics by Michael LaBossiere on October 15, 2014
English: map of voter ID laws in US

English: map of voter ID laws in US (Photo credit: Wikipedia)

One essential aspect of a democracy is the right of each citizen to vote. This also includes the right to have her vote count. One aspect of protecting this right is to ensure that voter fraud does not occur. After all, voter fraud can rob legitimate voters of their right to properly decide the election. Another aspect of protecting this right is to ensure that voter suppression does not occur. This is because voter suppression can unjustly rob people of their votes.

Many Republicans have expressed concerns about voter fraud and have worked to enact laws aimed, they claim, at reducing such fraud. In response, many Democrats have countered that these laws are, they claim, aimed at voter suppression. Naturally, each side accuses the other of having wicked political motives. Many Democrats see the Republicans as trying to disenfranchise voters who tend to vote for Democrats (the young and minorities). The Republicans counter that the Democrats are supporting voter fraud because the fraud is in their favor. In many cases, these beliefs are no doubt quite sincere. However, the sincerity of a belief has no relevance to its truth. What matters are the reasons and evidence that support the belief. As such, I will look at the available evidence and endeavor to sort out the matter.

One point of contention is the extent of voter fraud. One Republican talking point is that voter fraud is widespread. For example, on April 7, 2014 Dick Morris claimed that over 1 million people voted twice in 2012. If this was true, then it would obviously be a serious matter: widespread voter fraud could change the results of elections and rob the legitimate voters of their right to decide. Democrats claim that voting fraud does occur, but occurs at such a miniscule level that it has no effect on election outcomes and thus does not warrant the measures favored by the Republicans.

Settling this matter requires looking at the available facts. In regards to Dick Morris’ claim (which made the rounds as a conservative talking point), the facts show that it is false. But the fact that Morris was astoundingly wrong does not prove that voter fraud is not widespread. However, the facts do. For example, in ten years Texas had 616 cases of allegations of voter fraud and only one conviction for double voting. In Kansas, 84 million voter records were analyzed for fraud. Of these, 14 cases were referred to prosecution with, as of this writing, zero convictions.

Republicans have argued for voter ID laws by contending that they will prevent fraud. However, investigation of voter fraud has shown only 31 credible cases out of one billion ballots. As such, this sort of fraud does occur—but only at an incredibly low rate.

In general, significant (let alone widespread) voter fraud does not occur although the myth is widespread. As such, the Republican claims about voter fraud are based on a myth and this would seem to remove the foundation for their claims and proposals regarding the matter.

It could be countered that while voter fraud is insignificant, it must still be countered by laws and policy changes, such as requiring voter IDs and eliminating early voting. This does have some appeal. To use an analogy, even if only a fraction of 1% of students cheated, then professors should still take steps to counter that cheating for the sake of academic integrity. Unless, of course, the measures used to counter that cheating did more damage than the cheating. The same would seem to apply to measures to counter voter fraud.

One rather important matter is the moral issue of whether it is more important to prevent fraud or to prevent disenfranchisement. This is analogous to the moral concern about guilt in the legal system. In the United States, there is a presumption of innocence on the moral grounds that it is better that a guilty person goes free than an innocent person is unjustly punished. In the case of voting, should it be accepted that it is better that a legitimate voter be denied her vote rather than an illegitimate voter be allowed to get away with fraud? Or is it better that an illegitimate voter gets away with fraud then for a legitimate voter to be denied her right to vote?

My own moral conviction is that it is more important to prevent disenfranchisement. Obviously I am against fraud and favor safeguards against fraud. However, given the minuscule rates of fraud if attempts to reduce it result in disenfranchisement, then I would oppose such attempts on moral grounds. Naturally, another person might take a different view and contend that it is worth disenfranchising voters in an attempt to reduce the minuscule rates of fraud to even more miniscule levels.

Returning to the matter of facts, one rather important concern is whether or not the laws and policies in question actually result in voter suppression. If they do not, even if they do nothing to counter voter fraud, then they would be tolerable (assuming they do not come with other costs).

Unfortunately, the evidence is that the laws that are allegedly aimed at preventing voter fraud actually serve as voter suppression measures, mostly aimed at minority voters. Keith Bentele and Erin E. O’Brien published a study entitled “Jim Crow 2.0? Why States Consider and Adopt Restrictive Voter Access Policies.” Based on their analysis of the data, they concluded “the Republican Party has engaged in strategic demobilization efforts in response to changing demographics, shifting electoral fortunes, and an internal rightward ideological drift among the party faithful.” The full study, from the journal Perspectives on Politics, is available here. Since this is a factual matter, those who disagree with these findings can counter this by providing an analysis of equal or greater credibility based on supported facts.

Interestingly, it is a common talking point among Republicans that professors are tools of the Democrats and that academic experts should not be trusted. While this is a marvelous ad homimen, what is needed is actual evidence and arguments countering the claims. If professors are tools of the Democrats and academic experts are not to be trusted, then it should be rather easy to provide credible, objective evidence and analysis showing that they are in error. In terms of specifics regarding voter suppression, I offer the following evidence based discussion.

One of the best-known methods proposed to counter voter fraud is the voter ID law. While, as shown above, the sort of fraud that would be prevented by these laws seems to occur 31 times per 1 billion ballots, it serves to disenfranchise voters. In Texas 600,000-800,000 registered voters lack such IDs with Hispanics being 40-120% more likely to lack an ID than whites. In North Carolina 318,000 registered voters lack the required ID and one third of them are African-American (African-Americans make up about 13% of the US population).

Another approach is to make it harder for citizens to register. One example is restrictions on voter registration drives—Hispanics and African-Americans register to vote at twice the rate of whites via drives. It is not clear how these methods would reduce fraud. The restrictions mostly do not seem to be aimed at making it harder for people to register fraudulently—just to make it more inconvenient to register.

A third tactic is to reduce the available early voting times and eliminate weekend and evening voting. This would seem to have no effect whatsoever on fraud, but seems aimed at minority voting patterns. In 2008 70% of African-American voters in North Carolina cast their ballots early. Minority voters are more likely than white voters to vote on weekends and in the evening. For example, 56% of the 2008 weekend voters in Cuyahoga County in Ohio were black.

A fourth tactic is to make it harder for people with past convictions to regain their voting rights. This impacts African Americans the most: 7.7% of African-Americans and 1.8% of the rest of the population have lost their right to vote in this manner. This tactic does not prevent fraud—it merely denies people the right to vote.

It would seem that the laws and policies allegedly aimed at voter fraud would not reduced the existing fraud (which is already miniscule) and would have the effect of suppressing voters. As such, these laws and proposals fail to protect the rights of voters and instead are a violation of that basic right. In short, they are either a misguided and failed effort to prevent fraud or a wicked and potentially successful effort to suppress minority voters. Either way, these laws and policies are a violation of a fundamental right of the American democracy.

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How You Should Vote

Posted in Politics by Michael LaBossiere on October 13, 2014

As I write this in early October, Election Day in the United States is about a month away. While most Americans do not vote, there is still in question of how a voter should vote.

While I do have definite opinions about the candidates and issues on the current ballot in my part of Florida, this essay is not aimed at convincing you to vote as I did (via my mail-in ballot). Rather, my goal is to discuss how you should vote in general.

The answer to the question of how you should vote is easy: if you are rational, then you should vote in your self-interest. In the case of a specific candidate, you should vote for the candidate you believe will act in your self-interest. In the case of such things as ballot measures, you should vote for or against based on how you believe it will impact your self-interest. So, roughly put, you should vote for what is best for you.

While this is rather obvious advice, it does bring up two often overlooked concerns. The first is the matter of determining what is actually in your self-interest. The second is determining whether or not your voting decision is in your self-interest. In the case of a candidate, the concern is whether or not the candidate will act in your self-interest. In the case of things like ballot measures, the question is whether or not the measure will be advantageous to your interests or not.

It might be thought that a person just knows what is in her self-interest. Unfortunately, people can be wrong about this. In most cases people just assume that if they want or like something, then it is in their self-interest. But, what a person likes or wants need not be what is best for him. For example, a person might like the idea of cutting school funding without considering how it will impact her family. In contrast, what people do not want or dislike is assumed to be against their self-interest. Obviously, what a person dislikes or does not want might not be bad for her. For example, a person might dislike the idea of an increased minimum wage and vote against it without considering whether it would actually be in their self-interest or not. The take-away is that a person needs to look beyond what he likes or dislikes, wants or does not want in order to determine her actual self-interest.

It is natural to think that of what is in a person’s self interest in rather selfish terms. That is, in terms of what seems to benefit just the person without considering the interests of others. While this is one way to look at self-interest, it is worth considering what might seem to be in the person’s selfish interest could actually be against her self-interest. For example, a business owner might see paying taxes to fund public education as being against her self-interest because it seems to have no direct, selfish benefit to her. However, having educated fellow citizens would seem to be in her self-interest and even in her selfish interest. For example, having the state pay for the education of her workers is advantageous to her—even if she has to contribute a little. As another example, a person might see paying taxes for public health programs and medical aid to foreign countries as against her self-interest because she has her own medical coverage and does not travel to those countries. However, as has been shown with Ebola, public and even world health is in her interest—unless she lives in total isolation. As such, even the selfish should consider whether or not their selfishness in a matter is actually in their self-interest.

It is also worth considering a view of self-interest that is more altruistic. That is, that a person’s interest is not just in her individual advantages but also in the general good. For this sort of person, providing for the common defense and securing the general welfare would be in her self-interest because her self-interest goes beyond just her self.

So, a person should sort out her self-interest and consider that it might not just be a matter of what she likes, wants or sees as in her selfish advantage. The next step is to determine which candidate is most likely to act in her self-interest and which vote on a ballot measure is most likely to serve her self-interest.

Political candidates, obviously enough, try very hard to convince their target voters that they will act in their interest. Those backing ballot measures also do their best to convince voters that voting a certain way is in their self-interest.

However, the evidence is that politicians do not act in the interest of the majority of those who voted for them. Researchers at Princeton and Northwestern conducted a study, “Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens”, to determine whether or not politicians acted based on the preferences of the majority. The researchers examined about 1,800 policies and matched them against the preferences expressed by three classes: the average American (50th income percentile), the affluent American (the 90th percentile of income) and the large special interest groups.

The results are hardly surprising: “The central point that emerges from our research is that economic elites and organized groups representing business interests have substantial independent impacts on US government policy, while mass-based interest groups and average citizens have little or no independent influence.” This suggests that voters are rather poor at selecting candidates who will act in their interest (or perhaps that there are no candidates who will do so).

It can be countered that the study just shows that politicians generally act contrary to the preferences of the majority but not that they act contrary to their self-interest. After all, I made the point that what people want (prefer) might not be what is in their self-interest. But, on the face of it, unless what is in the interest of the majority is that the affluent get their way, then it seems that the politicians voters choose generally do not act in the best interest of the voters. This would indicate that voters should pick different candidates.

 

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Lessons from Gaming #1: Keep Rolling

Posted in Epistemology, Metaphysics, Philosophy by Michael LaBossiere on October 10, 2014
English: Six dice of various colours. 4-sided ...

 (Photo credit: Wikipedia)

When I was a young kid I played games like Monopoly, Chutes & ladders and Candy Land. When I was a somewhat older kid, I was introduced to Dungeons & Dragons and this proved to be a gateway game to Call of Cthulhu, Battletech, Star Fleet Battles, Gamma World, and video games of all sorts. I am still a gamer today—a big bag of many-sided dice and exotic gaming mice dwell within my house.

Over the years, I have learned many lessons from gaming. One of these is keep rolling. This is, not surprisingly, similar to the classic advice of “keep trying” and the idea is basically the same. However, there is some interesting philosophy behind “keep rolling.”

Most of the games I have played feature actual dice or virtual dice (that is, randomness) that are used to determine how things go in the game. To use a very simple example, the dice rolls in Monopoly determine how far your piece moves. In vastly more complicated games like Pathfinder or Destiny the dice (or random number generators) govern such things as attacks, damage, saving throws, loot, non-player character reactions and, in short, much of what happens in the game. For most of these games, the core mechanics are built around what is supposed to be a random system. For example, in games like Pathfinder when your character attacks the dragon with her great sword, a roll of a 20-sided die determines whether you hit or not. If you do hit, then you roll more dice to determine your damage.

Having played these sorts of games for years, I can think very well in terms of chance and randomness when planning tactics and strategies within such games. On the one hand, a lucky roll can result in victory in the face of overwhelming odds. On the other hand, a bad roll can seize defeat from the jaws of victory. But, in general, success is more likely if one does not give up and keeps on rolling.

This lesson translates very easily and obviously to life. There are, of course, many models and theories of how the real world works. Some theories present the world as deterministic—all that happens occurs as it must and things cannot be otherwise. Others present a pre-determined world (or pre-destined): all that happens occurs as it has been ordained and cannot be otherwise. Still other models present a random universe.

As a gamer, I favor the random universe model: God does play dice with us and He often rolls them hard. The reason for this belief is that the dice/random model of gaming seems to work when applied to the actual world—as such, my belief is mostly pragmatic. Since games are supposed to model parts of reality, it is hardly surprising that there is a match up. Based on my own experience, the world does seem to work rather like a game: success and failure seem to involve chance.

As a philosopher, I recognize this could simply be a matter of epistemology: the apparent chance could be the result of our ignorance rather than an actual randomness. To use the obvious analogy, the game master might not be rolling dice behind her screen at all and what happens might be determined or pre-determined. Unlike in a game, the rule system for reality is not accessible: it is guessed at by what we observe and we learn the game of life solely by playing.

That said, the dice model seems to fit experience best: I try to do something and succeed or fail with a degree of apparent randomness. Because I believe that randomness is a factor, I consider that my failure to reach a goal could be partially due to chance. So, if I want to achieve that goal, I roll again. And again. Until I succeed or decide that the game is not worth the roll. Not being a fool, I do consider that success might be impossible—but I do not infer that from one or even a few bad rolls. This approach to life has served me well and will no doubt do so until it finally kills me.

 

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A Philosopher’s Blog: 2012-2013

Posted in Philosophy by Michael LaBossiere on October 8, 2014

A-Philosopher's-Blog-2012-2013-CoverMy latest book, A Philosopher’s Blog 2012-2013, will be free on Amazon from October 8, 2014 to October 12 2014.

Description: “This book contains select essays from the 2012-2013 postings of A Philosopher’s Blog. The topics covered range from economic justice to defending the humanities, plus some side trips into pain pills and the will.”

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Lawful Good

Posted in Ethics, Philosophy by Michael LaBossiere on October 6, 2014
Paladin II

Paladin II (Photo credit: Wikipedia)

As I have written in other posts on alignments, it is often useful to look at the actual world in terms of the D&D alignment system. In this essay, I will look at the alignment that many players find the most annoying: lawful good (or, as some call it, “awful good”).

Pathfinder, which is a version of the D20 D&D system, presents the alignment as follows:

 A lawful good character believes in honor. A code or faith that she has unshakable belief in likely guides her. She would rather die than betray that faith, and the most extreme followers of this alignment are willing (sometimes even happy) to become martyrs.

A lawful good character at the extreme end of the lawful-chaotic spectrum can seem pitiless. She may become obsessive about delivering justice, thinking nothing of dedicating herself to chasing a wicked dragon across the world or pursuing a devil into Hell. She can come across as a taskmaster, bent upon her aims without swerving, and may see others who are less committed as weak. Though she may seem austere, even harsh, she is always consistent, working from her doctrine or faith. Hers is a world of order, and she obeys superiors and finds it almost impossible to believe there’s any bad in them. She may be more easily duped by such impostors, but in the end she will see justice is done—by her own hand if necessary.

In the fantasy worlds of role-playing games, the exemplar of the lawful good alignment is the paladin. Played properly, a paladin character is a paragon of virtue, a word of righteousness, a defender of the innocent and a pain in the party’s collective ass. This is because the paladin and, to a somewhat lesser extent, all lawful good characters are very strict about being good. They are usually quite willing to impose their goodness on the party, even when doing so means that the party must take more risks, do things the hard way, or give up some gain. For example, lawful good characters always insist on destroying unholy magical items, even when they could be cashed in for stacks of gold.

In terms of actual world moral theories, lawful good tends to closely match virtue theory: the objective is to be a paragon of virtue and all that entails. In actual game play, players tend to (knowingly or unknowingly) embrace the sort of deontology (rules based ethics) made famous by our good dead friend Immanuel Kant. On this sort of view, morality is about duty and obligations, the innate worth of people, and the need to take action because it is right (rather than expedient or prudent). Like Kant, lawful good types tend to be absolutists—there is one and only one correct solution to any moral problem and there are no exceptions. The lawful good types also tend to reject consequentialism—while the consequences of actions are not ignored (except by the most fanatical of the lawful good), what ultimately matters is whether the act is good in and of itself or not.

In the actual world, a significant number of people purport to be lawful good—that is, they claim to be devoted to honor, goodness, and order. Politicians, not surprisingly, often try to cast themselves, their causes and their countries in these terms. As might be suspected, most of those who purport to be good are endeavoring to deceive others or themselves—they mistake their prejudices for goodness and their love of power for a devotion to a just order. While those skilled at deceiving others are dangerous, those who have convinced themselves of their own goodness can be far more dangerous: they are willing to destroy all who oppose them for they believe that those people must be evil.

Fortunately, there are actually some lawful good types in the world. These are the people who sincerely work for just, fair and honorable systems of order, be they nations, legal systems, faiths or organizations. While they can seem a bit fanatical at times, they do not cross over into the evil that serves as a key component of true fanaticism.

Neutral good types tend to see the lawful good types as being too worried about order and obedience. The chaotic good types respect the goodness of the lawful good types, but find their obsession with hierarchy, order and rules oppressive. However, good creatures never willingly and knowingly seriously harm other good creatures. So, while a chaotic good person might be critical of a lawful good organization, she would not try to destroy it.

Chaotic evil types are the antithesis of the lawful good types and they are devoted enemies. The chaotic evil folks hate the order and goodness of the lawful good, although they certainly delight in destroying them.

Neutral evil types are opposed to the goodness of the lawful good, but can be adept at exploiting both the lawful and good aspects of the lawful good. Of course, the selfishly evil need to avoid exposure, since the good will not willingly suffer their presence.

Lawful evil types can often get along with the lawful good types in regards to the cause of order. Both types respect tradition, authority and order—although they do so for very different reasons. Lawful evil types often have compunctions that can make them seem to have some goodness and the lawful good are sometimes willing to see such compunctions as signs of the possibility of redemption. In general, the lawful good and lawful evil are most likely to be willing to work together at the societal level. For example, they might form an alliance against a chaotic evil threat to their nation. Inevitably, though, the lawful good and lawful evil must end up in conflict. Which is as it should be.

 

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Gaming Newcomb’s Paradox III: What You Actually Decide

Posted in Metaphysics, Philosophy, Reasoning/Logic by Michael LaBossiere on October 3, 2014

Robert Nozick

Robert Nozick (Photo credit: Wikipedia)

Newcomb’s Paradox was created by William Newcomb of the University of California’s Lawrence Livermore Laboratory. The dread philosopher Robert Nozick published a paper on it in 1969 and it was popularized in Martin Gardner’s 1972 Scientific American column.

In this essay I will present the game that creates the paradox and then discuss a specific aspect of Nozick’s version, namely his stipulation regarding the effect of how the player of the game actually decides.

The paradox involves a game controlled by the Predictor, a being that is supposed to be masterful at predictions. Like many entities with but one ominous name, the Predictor’s predictive capabilities vary with each telling of the tale. The specific range is from having an exceptional chance of success to being infallible. The basis of the Predictor’s power also vary. In the science-fiction variants, it can be a psychic, a super alien, or a brain scanning machine. In the fantasy versions, the Predictor is a supernatural entity, such as a deity. In Nozick’s telling of the tale, the predictions are “almost certainly” correct and he stipulates that “what you actually decide to do is not part of the explanation of why he made the prediction he made”.

Once the player confronts the Predictor, the game is played as follows. The Predictor points to two boxes. Box A is clear and contains $1,000.  Box B is opaque. The player has two options: just take box B or take both boxes. The Predictor then explains to the player the rules of its game: the Predictor has already predicted what the player will do. If the Predictor has predicted that the player will take just B, B will contain $1,000,000. Of course, this should probably be adjusted for inflation from the original paper. If the Predictor has predicted that the player will take both boxes, box B will be empty, so the player only gets $1,000. In Nozick’s version, if the player chooses randomly, then box B will be empty. The Predictor does not inform the player of its prediction, but box B is either empty or stuffed with cash before the players actually picks. The game begins and ends when the player makers her choice.

This paradox is regarded as a paradox because the two stock solutions are in conflict. The first stock solution is that the best choice is to take both boxes. If the Predictor has predicted the player will take both boxes, the player gets $1,000. If the Predicator has predicted (wrongly) that the player will take B, she gets $1,001,000. If the player takes just B, then she risks getting $0 (assuming the Predicator predicted wrong).

The second stock solution is that the best choice is to take B. Given the assumption that the Predictor is either infallible or almost certainly right, then if the player decides to take both boxes, she will get $1,000.  If the player elects to take just B, then she will get $1,000,000. Since $1,000,000 is more than $1,000, the rational choice is to take B. Now that the paradox has been presented, I can turn to Nozick’s condition that “what you actually decide to do is not part of the explanation of why he made the prediction he made”.

This stipulation provides some insight into how the Predictor’s prediction ability is supposed to work. This is important because the workings of the Predictor’s ability to predict are, as I argued in my previous essay, rather significant in sorting out how one should decide.

The stipulation mainly serves to indicate how the Predicator’s ability does not work. First, it would seem to indicate that the Predictor does not rely on time travel—that is, it does not go forward in time to observe the decision and then travel back to place (or not place) the money in the box. After all, the prediction in this case would be explained in terms of what the player decided to do. This still leaves it open for the Predictor to visit (or observe) a possible future (or, more accurately, a possible world that is running ahead of the actual world in its time) since the possible future does not reveal what the player actually decides, just what she decides in that possible future. Second, this would seem to indicate that the Predictor is not able to “see” the actual future (perhaps by being able to perceive all of time “at once” rather than linearly as humans do). After all, in this case it would be predicting based on what the player actually decided. Third, this would also rule out any form of backwards causation in which the actual choice was the cause of the prediction. While there are, perhaps, other specific possibilities that are also eliminated, the gist is that the Predictor has to, by Nozick’s stipulation, be limited to information available at the time of the prediction and not information from the future. There are a multitude of possibilities here.

One possibility is that the Predictor is telepathic and can predict based on what it reads regarding the player’s intentions at the time of the prediction. In this case, the best approach would be for the player to think that she will take one box, and then after the prediction is made, take both. Or, alternatively, use some sort of drugs or technology to “trick” the Predictor. The success of this strategy would depend on how well the player can fool the Predictor. If the Predictor cannot be fooled or is unlikely to be fooled then the smart strategy would be to intend to take box B and then just take box B. After all, if the Predictor cannot be fooled, then box B will be empty if the player intends on taking both.

Another possibility is that the Predictor is a researcher—it gathers as much information as it can about the player and makes a shrewd guess based on that information (which might include what the player has written about the paradox). Since Nozick stipulates that the Predictor is “almost certainly” right, the Predictor would need to be an amazing researcher. In this case, the player’s only way to mislead the Predictor is to determine its research methods and try to “game” it so the Predictor will predict that she will just take B, then actually decide to take both. But, once again, the Predictor is stipulated to be “almost certainly” right—so it would seem that the player should just take B. If B is empty, then the Predictor got it wrong, which would “almost certainly” not happen. Of course, it could be contended that since the player does not know how the Predictor will predict based on its research (the player might not know what she will do), then the player should take both. This, of course, assumes that the Predictor has a reasonable chance of being wrong—contrary to the stipulation.

A third possibility is that the Predictor predicts in virtue of its understanding of what it takes to be a determinist system. Alternatively, the system might be a random system, but one that has probabilities. In either case, the Predictor uses the data available to it at the time and then “does the math” to predict what the player will decide.

If the world really is deterministic, then the Predictor could be wrong if it is determined to make an error in its “math.” So, the player would need to predict how likely this is and then act accordingly. But, of course, the player will simply act as she is determined to act. If the world is probabilistic, then the player would need to estimate the probability that the Predictor will get it right. But, it is stipulated that the Predictor is “almost certainly” right so any strategy used by the player to get one over on the Predictor will “almost certainly” fail, so the player should take box B. Of course, the player will do what “the dice say” and the choice is not a “true” choice.

If the world is one with some sort of metaphysical free will that is in principle unpredictable, then the player’s actual choice would, in principle, be unpredictable. But, of course, this directly violates the stipulation that the Predictor is “almost certainly” right. If the player’s choice is truly unpredictable, then the Predictor might make a shrewd/educated guess, but it would not be “almost certainly” right. In that case, the player could make a rational case for taking both—based on the estimate of how likely it is that the Predictor got it wrong. But this would be a different game, one in which the Predictor is not “almost certainly” right.

This discussion seems to nicely show that the stipulation that “what you actually decide to do is not part of the explanation of why he made the prediction he made” is a red herring. Given the stipulation that the Predictor is “almost certainly” right, it does not really matter how its predictions are explained. The stipulation that what the player actually decides is not part of the explanation simply serves to mislead by creating the false impression that there is a way to “beat” the Predictor by actually deciding to take both boxes and gambling that it has predicted the player will just take B.  As such, the paradox seems to be dissolved—it is the result of some people being misled by one stipulation and not realizing that the stipulation that the Predictor is “almost certainly” right makes the other irrelevant.

 

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Gaming Newcomb’s Paradox II: Mechanics

Posted in Philosophy, Reasoning/Logic by Michael LaBossiere on October 1, 2014
La bildo estas kopiita de wikipedia:es. La ori...

(Photo credit: Wikipedia)

Newcomb’s Paradox was created by William Newcomb of the University of California’s Lawrence Livermore Laboratory. The dread philosopher Robert Nozick published a paper on it in 1969 and it was popularized in Martin Gardner’s 1972 Scientific American column.

As a philosopher, a game master (a person who runs a tabletop role playing game) and an author of game adventures, I am rather fond of puzzles and paradoxes. As a philosopher, I can (like other philosophers) engage in the practice known as “just making stuff up.” As an adventure author, I can do the same—but I need to present the actual mechanics of each problem, puzzle and paradox. For example, a trap description has to specific exactly how the trap works, how it may be overcome and what happens if it is set off. I thought it would be interesting to look at Newcomb’s Paradox from a game master perspective and lay out the possible mechanics for it. But first, I will present the paradox and two stock attempts to solve it.

The paradox involves a game controlled by the Predictor, a being that is supposed to be masterful at predictions. Like many entities with but one ominous name, the Predictor’s predictive capabilities vary with each telling of the tale. The specific range is from having an exceptional chance of success to being infallible. The basis of the Predictor’s power also vary. In the science-fiction variants, it can be a psychic, a super alien, or a brain scanning machine. In the fantasy versions, the Predictor is a supernatural entity, such as a deity. In Nozick’s telling of the tale, the predictions are “almost certainly” correct and he stipulates that “what you actually decide to do is not part of the explanation of why he made the prediction he made”.

Once the player confronts the Predictor, the game is played as follows. The Predictor points to two boxes. Box A is clear and contains $1,000.  Box B is opaque. The player has two options: just take box B or take both boxes. The Predictor then explains to the player the rules of its game: the Predictor has already predicted what the player will do. If the Predictor has predicted that the player will take just B, B will contain $1,000,000. Of course, this should probably be adjusted for inflation from the original paper. If the Predictor has predicted that the player will take both boxes, box B will be empty, so the player only gets $1,000. In Nozick’s version, if the player chooses randomly, then box B will be empty. The Predictor does not inform the player of its prediction, but box B is either empty or stuffed with cash before the players actually picks. The game begins and ends when the player makers her choice.

This paradox is regarded as a paradox because the two stock solutions are in conflict. The first stock solution is that the best choice is to take both boxes. If the Predictor has predicted the player will take both boxes, the player gets $1,000. If the Predicator has predicted (wrongly) that the player will take B, she gets $1,001,000. If the player takes just B, then she risks getting $0 (assuming the Predicator predicted wrong).

The second stock solution is that the best choice is to take B. Given the assumption that the Predictor is either infallible or almost certainly right, then if the player decides to take both boxes, she will get $1,000.  If the player elects to take just B, then she will get $1,000,000. Since $1,000,000 is more than $1,000, the rational choice is to take B. Now that the paradox has been presented, I can turn to laying out some possible mechanics in gamer terms.

One obvious advantage of crafting the mechanics for a game is that the author and the game master know exactly how the mechanic works. That is, she knows the truth of the matter. While the players in role-playing games know the basic rules, they often do not know the full mechanics of a specific challenge, trap or puzzle. Instead, they need to figure out how it works—which often involves falling into spiked pits or being ground up into wizard burger. Fortunately, Newcomb’s Paradox has very simple game mechanics, but many variants.

In game mechanics, the infallible Predictor is easy to model. The game master’s description would be as follows: “have the player character (PC) playing the Predictor’s game make her choice. The Predictor is infallible, so if the player takes box B, she gets the million. If the player takes both, she gets $1,000.” In this case, the right decision is to take B. After all, the Predictor is infallible. So, the solution is easy.

Predicted choice Actual choice Payout
A and B A and B $1,000
A and B B only $0
B only A and B $1,001,000
B only B only $1,000,000

A less-than infallible Predictor is also easy to model with dice. The description of the Predictor simply specifies the accuracy of its predictions. So, for example: “The Predictor is correct 99% of the time. After the player character makes her choice, roll D100 (generating a number from 1-100). If you roll 100, the Predictor was wrong. If the PC picked just box B, it is empty and she gets nothing because the Predictor predicted she would take both. If she picked both, B is full and she gets $1,001,000 because the Predictor predicted she would just take one. If you roll 1-99, the Predictor was right. If the PC picked box B, she gets $1,000,000. If she takes both, she gets $1,000 since box B is empty.” In this case, the decision is a gambling matter and the right choice can be calculated by considering the chance the Predictor is right and the relative payoffs. Assuming the Predictor is “almost always right” would make choosing only B the rational choice (unless the player absolutely and desperately needs only $1,000), since the player who picks just B will “almost always” get the $1,000,000 rather than nothing while the player who picks both will “almost always” get just $1,000. But, if the Predictor is “almost always wrong” (or even just usually wrong), then taking both would be the better choice. And so on for all the fine nuances of probability. The solution is relatively easy—it just requires doing some math based on the chance the Predictor is correct in its predictions. As such, if the mechanism of the Predicator is specified, there is no paradox and no problem at all. But, of course, in a role-playing game puzzle, the players should not know the mechanism.

If the game master is doing her job, when the players are confronted by the Predictor, they will not know the predictor’s predictive powers (and clever players will suspect some sort of trick or trap). The game master will say something like “after explaining the rules, the strange being says ‘my predictions are nearly always right/always right’ and sets two boxes down in front of you.” Really clever players will, of course, make use of spells, items, psionics or technology (depending on the game) to try to determine what is in the box and the capabilities of the Predictor. Most players will also consider just attacking the Predictor and seeing what sort of loot it has. So, for the game to be played in accord with the original version, the game master will need to provide plausible ways to counter all these efforts so that the players have no idea about the abilities of the Predictor or what is in box B. In some ways, this sort of choice would be similar to Pascal’s famous Wager: one knows that the Predictor will get it right or it won’t. But, in this case, the player has no idea about the odds of the Predictor being right. In this case, from the perspective of the player who is acting in ignorance, taking both boxes yields a 100% chance of getting $1,000 and somewhere between 0 and 100% chance of getting the extra $1,000,000. Taking the B box alone yields a 100% chance of not getting the $1,000 and some chance between 0% and 100% of getting $1,000,000. When acting in ignorance, the safe bet is to take both: the player walks away with at least $1,000. Taking just B is a gamble that might or might not pay off. The player might walk away with nothing or $1,000,000.

But, which choice is rational can depend on many possible factors. For example, suppose the players need $1,000 to buy a weapon they need to defeat the big boss monster in the dungeon, then picking the safe choice would be the smart choice: they can get the weapon for sure. If they need $1,001,000 to buy the weapon, then picking both would also be a smart choice, since that is the only way to get that sum in this game. If they need $1,000,000 to buy the weapon, then there is no rational way to pick between taking one or both, since they have no idea what gives them the best chance of getting at least $1,000,000. Picking both will get them $1,000 but only gets them the $1,000,000 if the Predictor predicted wrong. And they have no idea if it will get it wrong. Picking just B only gets them $1,000,000 if the Predictor predicted correctly. And they have no idea if it will get it right.

In the actual world, a person playing the game with the Predictor would be in the position of the players in the role-playing game: she does not know how likely it is that the Predictor will get it right. If she believes that the Predictor will probably get it wrong, then she would take both. If she thinks it will get it right, she would take just B. Since she cannot pick randomly (in Nozick’s scenario B is empty if the players decides by chance), that option is not available. As such, Newcomb’s Paradox is an epistemic problem: the player does not know the accuracy of the predictions but if she did, she would know how to pick. But, if it is known (or just assumed) the Predictor is infallible or almost always right, then taking B is the smart choice (in general, unless the person absolutely must have $1,000). To the degree that the Predictor can be wrong, taking both becomes the smarter choice (if the Predictor is always wrong, taking both is the best choice). So, there seems to be no paradox here. Unless I have it wrong, which I certainly do.

 

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