Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Effective teamwork in highly dynamic environments requires a delicate balance between giving agents the autonomy to act and react on their own and restricting that autonomy so tha...
Henry Work, Eric Chown, Tucker Hermans, Jesse Butt...
Software agents offer a promise to change electronic commerce trading by helping traders to purchase products based on their interests and preferences. E-commerce systems are incr...
Multiagent environments are often not cooperative nor collaborative; in many cases, agents have conflicting interests, leading to adversarial interactions. This paper presents a ...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
Recent developments in philosophy, linguistics, developmental psychology and arti cial intelligence make it possible to envision a developmental path for an arti cial agent, groun...
Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R....