This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led (...) to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

Amodel for inventing newsignals is introduced in the context of sender–receiver games with reinforcement learning. If the invention parameter is set to zero, it reduces to basic Roth–Erev learning applied to acts rather than strategies, as in Argiento et al. (Stoch. Process. Appl. 119:373–390, 2009). If every act is uniformly reinforced in every state it reduces to the Chinese Restaurant Process—also known as the Hoppe–Pólya urn—applied to each act. The dynamics can move players from one signaling game to another during (...) the learning process. Invention helps agents avoid pooling and partial pooling equilibria. (shrink)

Traditional contractarian theories based upon the theory of rational choice suffer from a number of well-known problems. For example, in positing the initial choice problem, the outcome selected by rational agents depends upon the specification of the choice situation, the range of alternatives the agents may choose from, and the nature of the rational agents themselves. Modifying any one of these three parameters likely alters the choice outcome, creating difficulties for social contract theorists who attempt to base a theory of (...) normativity upon such a choice. I describe a new form of contractarian theories, which I call evolutionary contractarianism. Although evolutionary contractarianism still seeks to ground a theory of normativity in the individual choices of rational agents, it recognizes both that agents are, at best, only boundedly rational, and that the dynamics of interaction between rational agents cannot be ignored. I explicitly concentrate on developing an evolutionary contractarian theory for norms of fair division in two bargaining games, laying a general framework which may in principle be extended to norms of fair division in other contexts. (shrink)