The aggregation of individuals’ preferences into a single group outcome is both well-studied and fundamental within decision theory. Historically, though, a pervasive simplifica...
We suggest a general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are e...
Craig Gentry, Zulfikar Ramzan, Stuart G. Stubblebi...
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Modern computer games show potential not just for engaging and entertaining users, but also in promoting learning. Game designers employ a range of techniques to promote long-term ...
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...