We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
The increasing importance of the Internet has motivated the exploration of new execution models based on mobile and dynamic entities to overcome the limits of the client/server mo...
In real-life multi-agent planning problems, long-term plans will often be invalidated by changes in the environment during or after the planning process. When this happens, short-t...
Xiaoyu Mao, Adriaan ter Mors, Nico Roos, Cees Witt...
The BDI model provides what it is possibly one of the most promising architectures for the development of intelligent agents, and has become one of the most studied and well known...
Distributed simulation enables participants situated in different geographical locations to share a common virtual world, which is called a Distributed Virtual Environment (DVE). ...