Tutorial AAMAS 13

Designing Computer Agents for Human-Computer Decision-Making

Ya’akov (Kobi) Gal and Sarit Kraus

Settings in which humans and computers make decisions together are becoming increasingly prevalent (e.g., electronic commerce, intelligent tutors, office assistants, negotiation training). How to design effective computer agents in these settings requires understanding the social and psychological factors that affect human behavior, which often transcend our formal models of a “rational” actor. This half-day tutorial will focus on computational representations, algorithms and empirical methodologies for meeting this challenge. It will (1) present historical and contemporary views on human decision-making from behavioral economics and cognitive psychology, (2) show how these results can inform computational models of behavior, and (c) present empirical methodologies for facilitating the design and evaluation of computational strategies in different types of environments.