We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
Simulation-based training in complex decision-making can be made more effective by using intelligent software agents to play key roles, such as teammates, opponents and instructor...
This paper describes a novel architecture for a casebased reasoning (CBR) system. Unlike other agent CBR systems in this architecture every case is an autonomous agent with its ow...
Oneof the mostinterestingissuesthat arises in agentsbased onthe BDI(belief-desire-intention)formalismis capturing notionsof realism,that is constraintsthat describepossible interr...