Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
Abstract. This paper presents an approach for reasoning about action and change which appeals to the principle of Occam’s razor— roughly stating that the simplest explanations ...
In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
Christopher Pedersen, Julian Togelius, Georgios N....
We take the work practices of fire emergency responders as the basis for developing simulations to teach team coordination. We introduce non-mimetic simulation: economic operation...
Zachary O. Toups, Andruid Kerne, William A. Hamilt...
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...