Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
In this paper we present a proposal for representing soft constraint satisfaction problems (CSPs) within the Semantic Web architecture. The proposal is motivated by the need for a...
Alun D. Preece, Stuart Chalmers, Craig McKenzie, J...
For successful coordination and cooperation in a multiagent system, participants need to establish a sufficiently accurate awareness of the current situation. Awareness is underst...
Abstract. The ability to view extended logic programs as argumentation systems opens the way for the use of this language in formalizing communication among reasoning computing age...
We consider multiagent systems situated in unpredictable environments. Agents viewed as abductive logic programs with abducibles being literals the agent could sense or receive fro...