In contrast to Axelrod’s advice “don’t be envious” it is argued that the emotion of envy may enhance cooperation. TIT FOR TAT does exhibit a certain degree of envy. But, it does so in inconsistent ways. Two variants of TIT FOR TAT are introduced and their strategic properties are analyzed. Both generate the very same actual play as TIT FOR TAT in a computer tournament without noise. However, if noise is introduced they display some greater degree of stability. (...) This is due to the fact that they form, in a prisoner’s dilemma supergame with suitable parameters, an equilibrium with themselves that is subgame perfect or (in case of the first strategy) close to subgame perfect. It is additionally argued that these strategies are exceptionally clear and comprehensible to others in that they conform to well known real live behavior patterns. (shrink)

The dispute in philosophical decision theory between causalists and evidentialists remains unsettled. Many are attracted to the causal view’s endorsement of a species of dominance reasoning, and to the intuitive verdicts it gets on a range of cases with the structure of the infamous Newcomb’s Problem. But it also faces a rising wave of purported counterexamples and theoretical challenges. In this paper I will describe a novel decision theory which saves what is appealing about the causal view while avoiding its (...) most worrying objections, and which promises to generalize to solve a set of related problems in other normative domains. (shrink)

Exploring online criticisms of the ‘take the knee’ protest during ‘Euro 2020’, this article examines how alt- and far-right conspiracies were both constructed and communicated via the social media platform, Twitter. By providing a novel exploration of alt-right conspiracies during an international football tournament, a qualitative thematic analysis of 1,388 original tweets relating to Euro 2020 was undertaken. The findings reveal how, in criticisms levelled at both ‘wokeism’ and the Black Lives Matter movement, antiwhite criticisms of the ‘take the (...) knee’ protest were embroiled in alt-right conspiracies that exposed an assumed Cultural Marxist, ‘woke agenda’ in the tournament’s organization and mainstream media coverage. In conclusion, it is argued that conspiratorial discourses, associated with the alt-right, provided a framework through which the protest could be understood. This emphasises how the significance of conspiracy functions to promote the wider dissemination of alt-right ideology across popular cultural contexts, such as sport. (shrink)

Evolutionary applications of game theory present one of the most pedagogically accessible varieties of genuine, contemporary theoretical biology. We present here Oyun (OY-oon, http://charlespence.net/oyun), a program designed to run iterated prisoner’s dilemma tournaments, competitions between prisoner’s dilemma strategies developed by the students themselves. Using this software, students are able to readily design and tweak their own strategies, and to see how they fare both in round-robin tournaments and in “evolutionary” tournaments, where the scores in a given “generation” directly determine contribution (...) to the population in the next generation. Oyun is freely available, runs on Windows, Mac, and Linux computers, and the process of creating new prisoner’s dilemma strategies is both easy to teach and easy for students to grasp. We illustrate with two interesting examples taken from actual use of Oyun in the classroom. (shrink)

We make the case that the Prisoner’s Dilemma, notwithstanding its fame and the quantity of intellectual resources devoted to it, has largely failed to explain any phenomena of social scientific or biological interest. In the heart of the paper we examine in detail a famous purported example of Prisoner’s Dilemma empirical success, namely Axelrod’s analysis of WWI trench warfare, and argue that this success is greatly overstated. Further, we explain why this negative verdict is likely true generally and not (...) just in our case study. We also address some possible defenses of the Prisoner’s Dilemma. (shrink)

Robustness has long been recognized as an important parameter for evaluating game-theoretic results, but talk of ‘robustness’ generally remains vague. What we offer here is a graphic measure for a particular kind of robustness (‘matrix robustness’), using a three-dimensional display of the universe of 2 × 2 game theory. In such a measure specific games appear as specific volumes (Prisoner’s Dilemma, Stag Hunt, etc.), allowing a graphic image of the extent of particular game-theoretic effects in terms of those games. The (...) measure also allows for an easy comparison between different effects in terms of matrix robustness. Here we use the measure to compare the robustness of Tit for Tat’s well-known success in spatialized games (Axelrod, R. (1984). The evolution of cooperation . New York: Basic Books; Grim, P. et al. (1998). The philosophical computer: Exploratory essays in philosophical computer modeling . Cambridge, Mass: MIT Press) with the robustness of a recent game-theoretic model of the contact hypothesis regarding prejudice reduction (Grim et al. 2005. Public Affairs Quarterly, 19 , 95–125). (shrink)

The iterated Prisoner’s Dilemma has become the standard model for the evolution of cooperative behavior within a community of egoistic agents, frequently cited for implications in both sociology and biology. Due primarily to the work of Axelrod (1980a, 198Ob, 1984, 1985), a strategy of tit for tat (TFT) has established a reputation as being particularly robust. Nowak and Sigmund (1992) have shown, however, that in a world of stochastic error or imperfect communication, it is not TFT that finally triumphs (...) in an ecological model based on population percentages (Axelrod and Hamilton 1981), but ‘generous tit for tat’ (GTFT), which repays cooperation with a probability of cooperation approaching 1 but forgives defection with a probability of l/3. In this paper, we consider a spatialized instantiation of the stochastic Prisoner’s Dilemma, using two-dimensional cellular automata (Wolfram, 1984, 1986; Gutowitz, 1990) to model the spatial dynamics of populations of competing strategies. The surprising result is that in the spatial model it is not GIFT but still more generous strategies that are favored. The optimal strategy within this spatial ecology appears to be a form of ‘bending over backwards’, which returns cooperation for defection with a probability of 2/3 - a rate twice as generous as GTFT. (shrink)

SummaryThis paper argues that the influence of language on science, philosophy and other field is mediated by communicative practices. Where communications is more restrictive, established linguistic structures exercise a tighter control over innovations and scientifically motivated reforms of language. The viewpoint here centers on the thesis that argumentation is crucial in the understanding and evaluation of proposed reforms and that social practices which limit argumentation serve to erode scientific objectivity. Thus, a plea is made for a sociology of scientific belief (...) designed to understand and insure social‐institutional conditions of the possibility of knowledge and its growth. A chief argument draws on work of Axelrod concerning the evolution of cooperation. (shrink)

In 2021, the men’s English national football team reached their first final at a major international tournament since winning the World Cup in 1966. This success followed their previous achievement of reaching the semi-finals (knocked-out by Croatia) at the 2018 World Cup. True to form, the defeats proved unfalteringly English; with the 2021 final echoing previous tournament defeats, as England lost to Italy on penalties. However, what resonated with the predictability of an English defeat, was the accompanying chant, (...) ‘it’s coming home’. A ubiquitous presence throughout the course of both tournaments—while chanted at England football matches, it was also repeated across social media, the press and commercial advertising—the chant originates from the 1996 single, Three Lions (Football’s Coming Home), performed by David Baddiel, Frank Skinner and The Lightning Seeds. In what follows critical attention will be given to examining how the song offers what will be argued is a melancholic outlook. By re-approaching examples of English nostalgia and hubris, this chapter will expose how illustrations of English melancholy offer the potential for promoting collective forms of expression, which, when contextualized alongside England’s lack of footballing success (for the men’s team, at least), can be offset against a melancholic mediation that is cognizant of the centrality of loss—both for the subject and our collective sporting endeavours. (shrink)

This paper is about teaching philosophy to high school students through Lincoln-Douglas (LD) debate. LD, also known as “values debate,” includes topics from ethics and political philosophy. Thousands of high school students across the U.S. debate these topics in class, after school, and at weekend tournaments. We argue that LD is a particularly effective tool for teaching philosophy, but also that LD today falls short of its potential. We argue that the problems with LD are not inevitable, and we offer (...) strategic recommendations for improving LD as a tool for teaching philosophy. Ultimately, our aim is to create a dialogue between LD and academic philosophy, with the hope that such dialogue will improve LD’s capacity to teach students how to do philosophy. (shrink)

We extend previous work on cooperation to some related questions regarding the evolution of simple forms of communication. The evolution of cooperation within the iterated Prisoner's Dilemma has been shown to follow different patterns, with significantly different outcomes, depending on whether the features of the model are classically perfect or stochastically imperfect (Axelrod 1980a, 1980b, 1984, 1985; Axelrod and Hamilton, 1981; Nowak and Sigmund, 1990, 1992; Sigmund 1993). Our results here show that the same holds for communication. Within (...) a simple model, the evolution of communication seems to require a stochastically imperfect world. (shrink)

Remember that childhood game “Odds or Evens” you used to play in order to settle important disputes such as who gets the last slice of pizza? There was only one element of skill to that game: trying to figure out what the other person would throw. But that wasn’t easy. If your opponent was savvy, that meant trying to figure out what he thought you were going to throw. And that sometimes meant figuring out what he thought you thought he (...) was going to throw. -/- Philosophers call this “thought attribution,” and top poker players are remarkably good at it. The ability to attribute thoughts to other people is especially important in the No-Limit Texas Hold’em tournaments that have, through television and the Internet, swept the globe in recent years. What is required to succeed in this game is not merely attributing “first-order” thoughts to other players, but attributing to them thoughts about your thoughts about their thoughts. In fact, that’s the minimum. The kind of thinking done by the very best players (T. J. Cloutier, Howard Lederer, and Daniel Negreanu are especially good at it) is much more complex than that. -/- In this paper, I explore the light that recent philosophical work on thought attribution sheds on the kind of thinking that goes on at the expert poker table. The paper should be revealing to poker experts and novices alike. And it should be of interest to philosophers interested in poker or thought attribution. -/- The essay is published in Poker and Philosophy, a volume of Open Court's Popular Culture and Philosophy Series. The goal of the series is to introduce philosophical themes to non-philosophers by way of particular topics of interest (in this case poker). (shrink)

The objective of this paper is to supplement Gottlieb’s challenge to Dryfus who claims that concepts are not operative in expert’s unreflective actions. First, concepts that an agent develops over time with practice, starting from the stage of novelty, become deeply rooted and persist through his expertise stage, according to common sense. It is unlikely that such rooted concepts become inoperative just when it is time for the agent to put them to use during the time that he is in (...) the zone (i.e., in flow). Second, an expert's inability to remember reasons behind his actions while he is in the zone is insufficient to prove that concepts are inoperative when he is acting in the zone. For an agent to not remember reasons as such could more likely be a consequence of the adequacy of his minimized reflections on his maximized (i.e. expert level) concepts, while he is in such a state. Moreover, not recalling every reason behind every step of an agent’s actions in the zone could be a consequence of his maximum concentration on successful processing and coordination of the task at hand, as opposed to committing his finite mental capacities to memorizing the reasons behind his step-by-step actions when he is performing an expert level action in the zone. Third, I point out to the prevalence of examples when experts or observers provide testimony about use of concepts to strategize or review actions before, during, and after their ‘in the zone’ actions (e.g., review of video replays of a game or a tournament on sports channels), which supports the operations and conceptuality of unreflective actions in flow. (shrink)

In a series of formal studies and less formal applications, Hong and Page offer a ‘diversity trumps ability’ result on the basis of a computational experiment accompanied by a mathematical theorem as explanatory background (Hong & Page 2004, 2009; Page 2007, 2011). “[W]e find that a random collection of agents drawn from a large set of limited-ability agents typically outperforms a collection of the very best agents from that same set” (2004, p. 16386). The result has been extremely influential as (...) an epistemic justification for diversity policy initiatives. Here we show that the ‘diversity trumps ability’ result is tied to the particular random landscape used in Hong and Page’s simulation. We argue against interpreting results on that random landscape in terms of ‘ability’ or ‘expertise.’ These concepts are better modeled on smother and more realistic landscapes, but keeping other parameters the same those are landscapes on which it is groups of the best performing that do better. Smoother landscapes seem to vindicate both the concept and the value of expertise. Change in other parameters, however, also vindicates diversity. With an increase in the pool of available heuristics, diverse groups again do better. Group dynamics makes a difference as well; simultaneous ‘tournament’ deliberation in a group in place of the ‘relay’ deliberation in Hong and Page’s original model further emphasizes an advantage for diversity. ‘Tournament’ 2 dynamics particularly shows the advantage of mixed groups that include both experts and non-experts. As a whole, our modeling results suggest that relative to problem characteristics and conceptual resources, the wisdom of crowds and the wisdom of the few each have a place. We regard ours as a step toward attempting to calibrate their relative virtues in different modelled contexts of intellectual exploration. (shrink)

Der berühmte Ameisenmann E.O. Wilson war schon immer einer meiner Helden - nicht nur ein hervorragender Biologe, sondern eine der winzigen und verschwindenden Minderheit von Intellektuellen, die es zumindest wagt, die Wahrheit über unsere Natur anzudeuten, die andere nicht verstehen oder, soweit sie es verstehen, aus politischen Gründen unermüdlich vermeiden. Leider beendet er seine lange Karriere auf äußerst schäbige Weise als Partei eines ignoranten und arroganten Angriffs auf die Wissenschaft, der zumindest teilweise durch die religiöse Inbrunst seiner Harvard-Kollegenmotiviertist. Es zeigt (...) die abscheulichen Folgen, wenn Universitäten Geld von religiösen Gruppen annehmen, Wissenschaftszeitschriften von großen Namen so bewundert sind, dass sie eine ordnungsgemäße Peer Review vermeiden und wenn Egos außer Kontrolle geraten dürfen. Es führt uns in die Natur der Evolution, die Grundlagen der wissenschaftlichen Methodik, wie Mathematik mit Wissenschaft zusammenhängt, was eine Theorie ausmacht, und sogar, welche Einstellungen zu Religion und Großzügigkeit angemessen sind, wenn wir uns unaufhaltsam dem Zusammenbruch der industriellen Zivilisation nähern. Ich fand Abschnitte in 'Conquest' mit dem üblichen prägnanten Kommentar (obwohl nichts wirklich Neues oder Interessantes, wenn man seine anderen Werke gelesen hat und auf biologie im Allgemeinen ist) in der oftgestylten Prosa, die sein Markenzeichen ist, aber war ziemlich überrascht, dass der Kern des Buches seine Ablehnung inklusiver Fitness (die seit über 50 Jahren ein Standbein der Evolutionsbiologie ist) zugunsten der Gruppenauswahl ist. Man nimmt an, dass von ihm kommen und mit den articles er bezieht sich auf veröffentlicht von sich selbst und Harvard Mathematik Kollege Nowak in großen Peer-Review-Zeitschriften wie Nature, muss es ein wesentlicher Fortschritt sein,, trotz der Tatsache, dass ich wusste, Gruppenauswahl wurde fast überall abgelehnt, da mit jeder großen Rolle in der Evolution. Ich habe zahlreiche Rezensionen im Netz gelesen und viele haben gute Kommentare, aber die, die ich am meisten sehen wollte, war, dass von renommierten Wissenschaftsautor und Evolutionsbiologe Richard Dawkins. Im Gegensatz zu den meisten von Fachleuten, die in Zeitschriften nur für diejenigen mit Zugang zu einer Universität zur Verfügung stehen, ist es leicht im Netz verfügbar, obwohlanscheinend, entschied er sich, es nicht in einer Zeitschrift zu veröffentlichen, da es angemessen abscheulich ist. Leider findet man eine vernichtende Ablehnung des Buches und den acerbic Kommentar über einen wissenschaftlichen Kollegen, den ich je von Dawkins gesehen habe -- über alles in seinem vielen Austausch mit dem verstorbenen und unbeklagten Demagogen und Pseudowissenschaftler Stephan Jay Gould. Obwohl Gould für seine persönlichen Angriffe auf seinen Harvard-Kollegen Wilson berüchtigt war, stellt Dawkins fest, dass ein Großteil von "Conquest" einen unbequem an Goulds häufige Verfehlungen in "bland, unfocussed ecumenicalis" erinnert. Dasselbe gilt mehr oder weniger für Wilsons populäres Schreiben, einschließlich seines jüngsten Buches "The Meaning of Human Existence" – eine weitere schamlose Eigenwerbung seiner diskreditierten Ideen zu Inklusiver Fitness (IF). Dawkins weist darauf hin, dass das berüchtigte 2010-Papier von Nowak, Tarnita und Wilson in Nature von über 140 Biologen, die einen Brief unterzeichnet haben, fast überall abgelehnt wurde und dass es in Wilsons Buch kein Wort darüber gibt. Auch in den folgenden 4 Jahren mit Artikeln, Vorträgen und mehreren Büchern haben sie dies nicht korrigiert. Es gibt keine andere Wahl, als Dawkins trenchant Kommentar zuzustimmen: "Für Wilson nicht zu zugeben, dass er für sich selbst gegen die große Mehrheit seiner professionellen Kollegen spricht - es schmerzt mich, dies von einem lebenslangen Helden zu sagen -- ein Akt mutwilligen Arroganz." Angesichts von Nowaks späterem Verhalten muss man ihn auch einbeziehen. Ich habe das Gefühl, dass einer der fassungslosen Menschen, die man im Fernsehen sieht, interviewt wird, nachdem der nette Mann von nebenan, der seit 30 Jahren alle Kinder babysitten, als Serienmörder entlarvt wird. Dawkins weist auch darauf hin (wie er und andere seit vielen Jahren), dass inklusive Fitness mit dem Neo-Darwinismus (d.h. logischerweise folgt) entsteht und nicht abgelehnt werden kann, ohne die Evolution selbst abzulehnen. Wilson erinnert uns erneut an Gould, der Kreationisten von der einen Seite seines Mundes anprangerte, während er ihnen Trost spendete, indem er endlosen ultraliberalen marxistisch gefärbten Kauderwelsch über Spandrels, unterbrochenes Gleichgewicht und Evolutionspsychologie von der anderen ausspeist. Die Unbestimmtheit und mathematische Opazität (für die meisten von uns) der Mathematik der Gruppen- oder Mehrebenenauswahl ist genau das, was die Sanftmütigen ihnen ermöglichen wollen, dem rationalen Denken in ihren endlosen antiwissenschaftlichen Gerüchten und (in der Wissenschaft) postmodernen Wortsalate zu entkommen. Schlimmer noch, Wilsons "Eroberung" ist ein schlecht durchdachtes und schlampig geschriebenes Durcheinander voller Nonsequiturs, vager Streifzüge, Verwirrungen und Inkohärenz. Eine gute Bewertung, die einige davon im Detail ist, dass von Absolvent Gerry Carter, die Sie im Netz finden können. Wilson hat auch nichts mit unserem gegenwärtigen Verständnis der Evolutionspsychologie (EP) zu tun (siehe z.B. die letzten 300 Seiten von Pinkers 'The Better Angels of our Nature'). Wenn Sie eine seriöse Buchlänge Bericht über die soziale Evolution und einige relevante EP von einem Experten wollen, siehe 'Principles of Social Evolution' von Andrew F.G. Bourke, oder ein nicht ganz so ernster und zugegebenermaßen fehlerhafter und irrender Bericht, aber ein Muss,das Robert Trivers dennoch lesen muss—'The Folly of Fools: The Logic of Deceit and Self-Deception in Human Life' und ältere, aber immer noch aktuelle und durchdringende Werke wie 'The Evolutionof Cooperation':Revised Edition by Robert Axelrod and 'The Biology ofMoral Systems' von Richard Alexander. (shrink)

In this study, we extracted facial action units (AUs) data during a Hearthstone tournament to investigate behavioural differences between expert, intermediate, and novice players. Our aim was to obtain insights into the nature of expertise and how it may be tracked using non-invasive methods such as AUs. These insights may shed light on the endogenous responses in the player and at the same time may provide information to the opponents during a competition. Our results show that player expertise may (...) be characterised by specific patterns in facial expressions. More specifically, AU17 (chin raiser), AU25 (lips apart), and AU26 (jaws drop) intensity responses during gameplay may vary according to players' expertise. Such results were obtained by training a random forest classifier to test whether we can use these three AUs alone to accurately detect players' expertise. The classifier reached 0.75 accuracy on 5-fold cross-validation, after balancing the class weights, and 0.85 after having applied the Synthetic Minority Over-sampling Technique (SMOTE) function. These results suggest that AUs can be effectively used to discriminate different levels of expertise in competitive video game players. (shrink)

In this study, we analyzed the blinking behavior of players in a video game tournament. Our aim was to test whether spontaneous blink patterns differ across levels of expertise. We used blink rate, blink duration, blink frequency, and eyelid movements represented by the Eye Aspect Ratio (EAR) to train a machine learning classifier to discriminate between different levels of expertise. Classifier performance was highly influenced by features such as the mean, standard deviation and median EAR. Moreover, further analysis suggests (...) that blinking rate and blink duration are likely to increase along with the level of expertise. We speculate this may be indicative of a reduction in cognitive load and lowered stress of expert players. In general, our results suggest that EAR and blink patterns can be used to identify different levels of expertise of video game players. (shrink)

This paper tries to answer the question why the epistemic value of so many social simulations is questionable. I consider the epistemic value of a social simulation as questionable if it contributes neither directly nor indirectly to the understanding of empirical reality. To examine this question, two classical social simulations are analyzed with respect to their possible epistemic justification: Schelling’s neighborhood segregation model and Axelrod’s reiterated Prisoner’s Dilemma simulations of the evolution of cooperation. It is argued that Schelling’s simulation (...) is useful because it can be related to empirical reality, while Axelrod’s simulations and those of his followers cannot and thus that their scientific value remains doubtful. I relate this findingto the background beliefs of modelers about the superiority of the modeling method as expressed in Joshua Epstein’s keynote address “Why model?”. (shrink)

Employing computer simulations for the study of the evolution of altruism has been popular since Axelrod's book "The Evolution of Cooperation". But have the myriads of simulation studies that followed in Axelrod's footsteps really increased our knowledge about the evolution of altruism or cooperation? This book examines in detail the working mechanisms of simulation based evolutionary explanations of altruism. It shows that the "theoretical insights" that can be derived from simulation studies are often quite arbitrary and of little (...) use for the empirical research. In the final chapter of the book, therefore, a set of epistemological requirements for computer simulations is proposed and recommendations for the proper research design of simulation studies are made. (shrink)

This paper discusses critically what simulation models of the evolution of cooperation can possibly prove by examining Axelrod’s “Evolution of Cooperation” (1984) and the modeling tradition it has inspired. Hardly any of the many simulation models in this tradition have been applicable empirically. Axelrod’s role model suggested a research design that seemingly allowed to draw general conclusions from simulation models even if the mechanisms that drive the simulation could not be identified empirically. But this research design was fundamentally (...) flawed. At best such simulations can claim to prove logical possibilities, i.e. they prove that certain phenomena are possible as the consequence of the modeling assumptions built into the simulation, but not that they are possible or can be expected to occur in reality. I suggest several requirements under which proofs of logical possibilities can nevertheless be considered useful. Sadly, most Axelrod-style simulations do not meet these requirements. It would be better not to use this kind of simulations at all. (shrink)

This paper discusses critically what simulation models of the evolution ofcooperation can possibly prove by examining Axelrod’s “Evolution of Cooperation” and the modeling tradition it has inspired. Hardly any of the many simulation models of the evolution of cooperation in this tradition have been applicable empirically. Axelrod’s role model suggested a research design that seemingly allowed to draw general conclusions from simulation models even if the mechanisms that drive the simulation could not be identified empirically. But this research (...) design was fundamentally flawed, because it is not possible to draw general empirical conclusions from theoretical simulations. At best such simulations can claim to prove logical possibilities, i.e. they prove that certain phenomena are possible as the consequence of the modeling assumptions built into the simulation, but not that they are possible or can be expected to occur in reality I suggest several requirements under which proofs of logical possibilities can nevertheless be considered useful. Sadly, most Axelrod-style simulations do not meet these requirements. I contrast this with Schelling’s neighborhood segregation model, thecore mechanism of which can be retraced empirically. (shrink)

Simulation models of the Reiterated Prisoner's Dilemma (in the following: RPD-models) are since 30 years considered as one of the standard tools to study the evolution of cooperation (Rangoni 2013; Hoffmann 2000). A considerable number of such simulation models has been produced by scientists. Unfortunately, though, none of these models has empirically been verified and there exists no example of empirical research where any of the RPD-models has successfully been employed to a particular instance of cooperation. Surprisingly, this has not (...) kept scientists from continuing to produce simulation models in the same tradition and from writing their own history as a history of success. In a recent simulation study -- which does not make use of the RPD but otherwise follows the same pattern of research -- Robert Axelrod's (1984) original role model for this kind of simulation studies is praised as ``an extremely effective means for investigating the evolution of cooperation'' and considered as ``widely credited with invigorating that field'' (Rendell et al. 2010). (shrink)

This paper is intended as a critical examination of the question of when and under what conditions the use of computer simulations is beneficial to scientific explanations. This objective is pursued in two steps: First, I try to establish clear criteria that simulations must meet in order to be explanatory. Basically, a simulation has explanatory power only if it includes all causally relevant factors of a given empirical configuration and if the simulation delivers stable results within the measurement inaccuracies of (...) the input parameters. -/- In the second step, I examine a few examples of Axelrod-style simulations as they have been used to understand the evolution of cooperation (Axelrod, Schüßler). These simulations do not meet the criteria for explanatory validity and it can be shown, as I believe, that they lead us astray from the scientific problems they have been addressed to solve. (shrink)

There is an ongoing debate on whether or to what degree computer simulations can be likened to experiments. Many philosophers are sceptical whether a strict separation between the two categories is possible and deny that the materiality of experiments makes a difference (Morrison 2009, Parker 2009, Winsberg 2010). Some also like to describe computer simulations as a “third way” between experimental and theoretical research (Rohrlich 1990, Axelrod 2003, Kueppers/Lenhard 2005). In this article I defend the view that computer simulations (...) are not experiments but that they are tools for evaluating the consequences of theories and theoretical assumptions. In order to do so the (alleged) similarities and differences between simulations and experiments are examined. It is found that three fundamental differences between simulations and experiments remain: 1) Only experiments can generate new empirical data. 2) Only Experiments can operate directly on the target system. 3) Experiments alone can be employed for testing fundamental hypotheses. As a consequence, experiments enjoy a distinct epistemic role in science that cannot completely be superseded by computer simulations. This finding in connection with a discussion of border cases such as hybrid methods that combine measurement with simulation shows that computer simulations can clearly be distinguished from empirical methods. It is important to understand that computer simulations are not experiments, because otherwise there is a danger of systematically underestimating the need for empirical validation of simulations. (shrink)

What lessons can legal scholars learn from the life and work of W. D. "Bill" Hamilton, a lifelong student of nature? From my small corner of the legal Academia, three aspects of Bill Hamilton’s work in evolutionary biology stand out in particular: (i) Hamilton’s simple and beautiful model of social behavior in terms of costs and benefits; (ii) his fruitful collaboration with the political theorist Robert Axelrod and their unexpected yet elegant solution of the Prisoner’s Dilemma, an important game (...) or puzzle that had defied solution until Hamilton and Axelrod came along; and (iii) Hamilton’s conception of science generally -- and in particular his view of the process of scientific justification -- as a form of trial advocacy. In this review of Ullica Segerstråle’s recently-published biography of Bill Hamilton, the author briefly recounts and reviews each one of these important contributions. (shrink)