We consider the stochastic variant of the Canadian Traveler's Problem, a path planning problem where adverse weather can cause some roads to be untraversable. The agent does ...
We propose SEASALT, an architecture based on the CoMES approach on developing collaborative multi-expert-systems using case-based reasoning and software agents technology. SEASALT...
We introduce anytime mechanisms for distributed optimization with self-interested agents. Anytime mechanisms retain good incentive properties even when interrupted before the opti...
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
Ontologic knowledge is getting more and more important in agent-based systems, and its handling is becoming crucial for successful applications. But placing all the ontologyhandli...