Cognitive modeling techniques provide a way of evaluating user interface designs, based on what is known about human cognitive strengths and limitations. Cognitive modelers face a...
Robert St. Amant, Sean P. McBride, Frank E. Ritter
Much of the work on opponent modeling for game tree search has been unsuccessful. In two-player, zero-sum games, the gains from opponent modeling are often outweighed by the cost ...
Nathan R. Sturtevant, Martin Zinkevich, Michael H....
Decision makers on supply chains face an uncertain, dynamic, and strategic multiagent environment. We report on Deep Maize, an agent we designed to participate in the 2003 Trading...
Christopher Kiekintveld, Michael P. Wellman, Satin...
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...