The environment is an important but overlooked piece in the construction of multiagent-based scenarios. Richness, believability and variety of scenarios are inseparable from the en...
Paul Hsueh-Min Chang, Kuang-Tai Chen, Yu-Hung Chie...
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
The use of rational agents for modelling real world problems has both been heavily investigated and become well accepted, with BDI Logic being a widely used architecture to repres...
Jeff Blee, David Billington, Guido Governatori, Ab...
Abstract. HeCaSe2 is a multi-agent system that intends to help doctors to apply clinical guidelines to their patients in a semi-automatic fashion. HeCaSe2 agents need a lot of (sca...
This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem, the merging of tw...