A team of agents planning to perform a complex task make a number of interrelated decisions as they determine precisely how that complex task will be performed. The decision set i...
Based on the limitations raised by existing approaches in the context of the Semantic Web, we propose a formalism, Web Sources Global Ontology (WebSOGO), a data meta-model for the...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...
A performance model for the interaction of agents in mobile agent systems is presented. Two interaction models, namely the remote procedure call and the agent migration are conside...