Representing agent policies compactly is essential for improving the scalability of multi-agent planning algorithms. In this paper, we focus on developing a pruning technique that...
nts have recently emerged as a valuable abstraction for characterizing interactions among autonomous agents at the level of their business relationships. Traditionally, interopera...
Self-organising multi-agent systems provide a suitable paradigm for developing autonomic computing systems that manage themselves. Towards this goal, we demonstrate a robust, dece...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...
Emergent interactions that are expressed by the movements of two agents are discussed in this paper. The common coding principle is used to show how the mirror neuron system may fa...
AI planning systems tend to be disembodied and are not situated within the environment for which plans are generated, thus losing information concerning the interaction between th...