Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Most agent systems today are closed and static. That is, one uses Agent-Oriented Software Engineering techniques to build agent systems in which the set of agents is specified ahe...
This paper is concerned with the problem of obtaining predictable interactions between groups of agents in open environments when individual agents do not expose their bdi logic. ...
Nardine Osman, David Robertson, Christopher Walton