In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Time management is essential when simulating multi-agent systems (MASs) as it allows consistent and repeatable simulation runs. So far, time management lacks support to express the...
Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yo...
The terms pervasive and ubiquitous computing are used to describe a smart space populated by hundreds of intelligent devices that are embedded in their surroundings. Characteristi...
The relation between answer set programming (ASP) and propositional satisfiability (SAT) is at the center of many research papers, partly because of the tremendous performance bo...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...