We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis that (...) people mistrust algorithms, participants trusted their AI partners to be as cooperative as humans. However, they did not return AI's benevolence as much and exploited the AI more than humans. These findings warn that future self-driving cars or co-working robots, whose success depends on humans' returning their cooperativeness, run the risk of being exploited. This vulnerability calls not just for smarter machines but also better human-centered policies. (shrink)

The chapter reviews recent theoretical and empirical developments concerning the theory of team reasoning in game theoretic interactions.

The game theoretic notion of best-response reasoning is sometimes criticized when its application produces multiple solutions of games, some of which seem less compelling than others. The recent development of the theory of team reasoning addresses this by suggesting that interacting players in games may sometimes reason as members of a team – a group of individuals who act together in the attainment of some common goal. A number of properties have been suggested for team-reasoning decision-makers’ goals to satisfy, but (...) a few formal representations have been discussed. In this paper we suggest a possible representation of these goals based on the notion of mutual advantage. We propose a method for measuring extents of individual and mutual advantage to the interacting decision-makers, and define team interests as the attainment of outcomes associated with maximum mutual advantage in the games they play. (shrink)

Nudge is a popular public policy tool that harnesses well-known biases in human judgement to subtly guide people’s decisions, often to improve their choices or to achieve some socially desirable outcome. Thanks to recent developments in artificial intelligence (AI) methods new possibilities emerge of how and when our decisions can be nudged. On the one hand, algorithmically personalized nudges have the potential to vastly improve human daily lives. On the other hand, blindly outsourcing the development and implementation of nudges to (...) “black box” AI systems means that the ultimate reasons for why such nudges work, that is, the underlying human cognitive processes that they harness, will often be unknown. In this paper, we unpack this concern by considering a series of examples and case studies that demonstrate how AI systems can learn to harness biases in human judgment to reach a specified goal. Drawing on an analogy in a philosophical debate concerning the methodology of economics, we call for the need of an interdisciplinary oversight of AI systems that are tasked and deployed to nudge human behaviours. (shrink)

Being, Aristotle tells us, "is said in many ways ". So are the good and many other fundamental things. Fair enough, but what on earth does this mean? What, to narrow the focus to the basic question, does Aristotle mean by in phrases such as and other constructions where is used in the same sense? While scholars have presented us with an array of different translations for this difficult term, not all of them are compatible and none seem adequate. Yet (...) it is crucial for us to have a precise and accurate understanding of what Aristotle means by this term and the constructions in which it appears if we are to have a clear grasp of many fundamental areas of his philosophy.The main purpose of this essay is to. (shrink)

There is a passage in the Nicomachean Ethics that holds out the promise of giving us a profound insight into Aristotle’s view of the good, A6: 1096a23-29. Unfortunately, the passage - where Aristotle argues, contra Plato, that the good cannot be one thing - has proven remarkably resistant to satisfactory interpretation, defying the efforts of scholars over the last nine decades or so. This essay offers an interpretation which, while attempting both to be true to Aristotle’s text and to avoid (...) the pitfalls of past efforts, shows that he makes a solid case for the claim that goods are irreducibly diverse. It is driven by new theses on several topics: the meaning he attaches to legetai in phrases such as legetai pollacwV, his method for identifying the significance of words, his method for identifying what the good is, and the fundamental manner in which the good is predicated for him. (shrink)

An effective method to increase the number of potential cadaveric organ donors is to make people donors by default with the option to opt out. This non-coercive public policy tool to influence people’s choices is often justified on the basis of the as-judged-by-themselves principle: people are nudged into choosing what they themselves truly want. We review three often hypothesized reasons for why defaults work and argue that the as-judged-by-themselves principle may hold only in two of these cases. We specify further (...) conditions for when the principle can hold in these cases and show that whether those conditions are met is often unclear. We recommend ways to expand nationwide surveys to identify the actual reasons for why defaults work and discuss mandated choice policy as a viable solution to many arising conundrums. (shrink)

Hunting and gathering is, evolutionarily, the defining subsistence strategy of our species. Studying how children learn foraging skills can, therefore, provide us with key data to test theories about the evolution of human life history, cognition, and social behavior. Modern foragers, with their vast cultural and environmental diversity, have mostly been studied individually. However, cross-cultural studies allow us to extrapolate forager-wide trends in how, when, and from whom hunter-gatherer children learn their subsistence skills. We perform a meta-ethnography, which allows us (...) to systematically extract, summarize, and compare both quantitative and qualitative literature. We found 58 publications focusing on learning subsistence skills. Learning begins early in infancy, when parents take children on foraging expeditions and give them toy versions of tools. In early and middle childhood, children transition into the multi-age playgroup, where they learn skills through play, observation, and participation. By the end of middle childhood, most children are proficient food collectors. However, it is not until adolescence that adults (not necessarily parents) begin directly teaching children complex skills such as hunting and complex tool manufacture. Adolescents seek to learn innovations from adults, but they themselves do not innovate. These findings support predictive models that find social learning should occur before individual learning. Furthermore, these results show that teaching does indeed exist in hunter-gatherer societies. And, finally, though children are competent foragers by late childhood, learning to extract more complex resources, such as hunting large game, takes a lifetime. (shrink)

This essay examines Jurgis Baltušaitis’ writings and shows its connections with the works of Henri Focillon, Aby Warburg and Athanasius Kircher. Baltušaitis oriented his interdisciplinary analyses in art history and cultural studies. The essay aims to demonstrate the complexity and importance of Baltrušaitis’ ideas that are developed in the comparative research of medieval art history, depraved perspectives, aberrations and illusions. Those works are linked by the philosophy of image and imagination that stand at the crossroads between abstractness and concreteness, myth (...) and history, reality and illusion, rational and irrational forces, the East and West. This article tries to shape Baltrušaitis’ legacy by offering an insight into his thinking which unites various research topics, typically excluded from positivistic studies. It reveals the underlying structures of cultural imaginary in which cross-cultural interactions take place. It argues for the revaluation of his oeuvre by attending to the theoretical concerns behind his historical research program. (shrink)

A partire dalla seconda metà del Novecento la questione della mostruosità è stata oggetto – insieme a quella del prodigio, da cui si differenzia soltanto parzialmente – di un crescente interesse accademico. Gli studi riguardanti la funzione antropologica, cosmologica, estetica e naturalistica dei mostri, sono oramai tanto numerosi e tanto vari nell'approccio da renderne ardua anche solo una parziale enumerazione. Difficilmente potremmo esimerci dal menzionare un autore come Jurgis Baltrušaitis, che così acutamente ha posto il tema della funzione estetica del (...) mostruoso e del deforme, e allo stesso modo non potremmo dimenticare gli ormai classici studi storici e interpretativi di Claude-Claire Kappler, Jean Céard, Jacques Le Goff, Leslie Fiedler o David Williams, la cui scelta di prender parte alla nostra rassegna ci ha sinceramente onorati. Così facendo, tuttavia, trascureremmo lavori davvero pregevoli, come (solo per dirne alcuni) il poderoso tomo prodotto da Lorraine J. Daston e Katharine Park, il prezioso volumetto di José Gil, la ricca raccolta a cura di Charles T. Wolfe, la voluminosa storia della teratologia di Olivier Roux e le profonde riflessioni di Richard Kearney. Sarebbe possibile proseguire con un elenco di molte pagine, che includerebbe senz'altro i molti e altrettanto degni di nota lavori di alcuni degli autori di questa raccolta, che, con gli altri, ringraziamo: Albrecht Classen, Peter G. Platt, Maddalena Mazzocut-Mis, David Gilmore... (shrink)

One of the conceptual limitations of the orthodox game theory is its inability to offer definitive theoretical predictions concerning the outcomes of noncooperative games with multiple rationalizable outcomes. This prompted the emergence of goal-directed theories of reasoning – the team reasoning theory and the theory of hypothetical bargaining. Both theories suggest that people resolve non-cooperative games by using a reasoning algorithm which allows them to identify mutually advantageous solutions of non-cooperative games. The primary aim of this thesis is to enrich (...) the current debate on goaldirected reasoning theories by studying the extent to which the principles of the bargaining theory can be used to formally characterize the concept of mutual advantage in a way which is compatible with some of the conceptually compelling principles of orthodox game theory, such as individual rationality, incentive compatibility, and non-comparability of decision-makers’ personal payoffs. I discuss two formal characterizations of the concept of mutual advantage derived from the aforementioned goal-directed reasoning theories: A measure of mutual advantage developed in collaboration with Jurgis Karpus, which is broadly in line with the notion of mutual advantage suggested by Sugden, and the benefit-equilibrating bargaining solution function, which is broadly in line with the principles underlying Conley and Wilkie’s solution for Pareto optimal point selection problems with finite choice sets. I discuss the formal properties of each solution, as well as its theoretical predictions in a number of games. I also explore each solution concept’s compatibility with orthodox game theory. I also discuss the limitations of the aforementioned goal-directed reasoning theories. I argue that each theory offers a compelling explanation of how a certain type of decision-maker identifies the mutually advantageous solutions of non-cooperative games, but neither of them offers a definitive answer to the question of how people coordinate their actions in non-cooperative social interactions. (shrink)