Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
A team of constraint agents with diverse viewpoints canfind a solution to a constraint satisfaction problem (CSP) whenthe individual agents have an incomplete viewof the problem.I...
This paper presents a generic architecture for an agent capable of designing and creating new agents. The design agent itself is based on an existing generic agent model, and inclu...
Frances M. T. Brazier, Catholijn M. Jonker, Jan Tr...
We introduce and motivate a non-standard multi-modal logic to represent and reason about ignorance in Multi-Agent Systems. We argue that in Multi-agent systems being able to reaso...
In this paper, we merge speech act theory, emotion theory, and logic. We propose a modal logic that integrates the concepts of belief, goal, ideal and responsibility and that allo...