In many AI settings an agent is comprised of both actionplanning and action-execution components. We examine the relationship between the precision of the execution component, the...
In this paper we present a model for coalition formation and payo distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model,...
We introduce a language for the representation of a subset of strategic interactions. The representation is based on petri nets. Representable games are restricted to have a fini...
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
In complex strategic situations decision-making agents interact with many other agents and have access to many pieces of information throughout their play. This usually leads to g...