In risky and other multiattribute choices, the process of choosing is well described by random walk or drift diffusion models in which evidence is accumulated over time to threshold. In strategic choices, level-k and cognitive hierarchy models have been offered as accounts of the choice process, in which people simulate the choice processes of their opponents or partners. We recorded the eye mo...

Gunnison's prairie dogs have a complex alarm communication system. We show that the escape responses of prairie dogs to naturally occurring live predators differed depending upon the species of predator. We also show that playbacks of alarm calls that were elicited originally by the live predators produced the same escape responses as the live predators themselves. The escape responses fell int...

An interesting problem is under what circumstances will a collection of interacting agents realize efficient collective actions. This question will depend crucially on how self-interested agents interact and how they learn from each other. We model strategic interactions as dilemma games, coordination games or hawk-dove games. It is well known that the replicator dynamics based on natural selec...

This paper seeks to make two contributions. First, we propose and analyze a tractable model of strategic play in which players behave as if their expectations about their opponents’ behavior vary with their own choices. We refer to this nonstandard updating as magical thinking. The model provides a unified view of documented behavior in a range of often-studied games, such as the Prisoners’ Dil...

Why are humans so vulnerable to pain in interpersonal relations and can so easily hurt others physically and emotionally? We theoretically examine whether being offensively strong but defensively weak can evolve as a strategic trait that fosters cooperation. We study a population comprised of “thick-skinned” and “thinskinned” agents by using an indirect evolution model that combines rational ch...

This paper describes the portable implementation of a programming model based on shared objects that integrates task and data parallelism. As a starting point, the implementation uses two existing runtime systems: the Orca runtime system (RTS), for task parallel programming, and Hawk, for data parallel programming. To achieve this portable integration, we implemented the Orca RTS and Hawk on to...