Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their...
—We examine the use of teleological metareasoning for self-adaptation in game-playing software agents. The goal of our work is to develop an interactive environment in which the ...
Joshua Jones, Chris Parnin, Avik Sinharoy, Spencer...
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...
— In this paper, we propose a new concept — the “Reciprocal Velocity Obstacle”— for real-time multi-agent navigation. We consider the case in which each agent navigates i...
The governance of open multi-agent systems is particular important since those systems are composed by heterogeneous, autonomous and independently designed agents. Such governance ...