The development of evolutionary game theory is closely linked with two interdisciplinary exchanges: the import of game theory into biology, and the import of biologists’ version of game theory into economics. This paper traces the history of these two import episodes. In each case the investigation covers what exactly was imported, what the motives for the import were, how the imported elements were put to use, and how they related to existing practices in the respective disciplines. Two conclusions emerged from (...) this study. First, concepts derived from the unity of science discussion or the unification accounts of explanation are too strong and too narrow to be useful for analysing these interdisciplinary exchanges. Secondly, biology and economics—at least in relation to EGT—show significant differences in modelling practices: biologists seek to link EGT models to concrete empirical situations, whereas economists pursue conceptual exploration and possible explanation.Keywords: Models; Evolutionary game theory; Interdisciplinarity; Unification; Unity of science; Theory import; Biology; Economics. (shrink)

So-called evolutionary error theorists, such as Michael Ruse and Richard Joyce, have argued that naturalistic accounts of the moral sentiments lead us to adopt an error theory approach to morality. Roughly, the argument is that an appreciation of the etiology of those sentiments undermines any reason to think that they track moral truth and, furthermore, undermines any reason to think that moral truth actually exists. I argue that this approach offers us a false dichotomy between error theory and some form (...) of moral realism. While accepting the presuppositions of the evolutionary error theorist, I argue that contract-based approaches to morality can be sensitive to those presuppositions while still vindicating morality. Invoking Stephen Darwall’s distinction between contractualism and contractarianism, I go on to offer an evolutionary-based contractarianism. (shrink)

Cheap talk has often been thought incapable of supporting the emergence of cooperation because costless signals, easily faked, are unlikely to be reliable (Zahavi and Zahavi, 1997). I show how, in a social network model of cheap talk with reinforcement learning, cheap talk does enable the emergence of cooperation, provided that individuals also temporally discount the past. This establishes one mechanism that suffices for moving a population of initially uncooperative individuals to a state of mutually beneficial cooperation even in the (...) absence of formal institutions. (shrink)