The underlying research topics and the architecture of the UBU team are briefly described. The aim of developing UBU is to subject a series of tools and procedures for agent decis...
Traditional AI research has not given due attention to the important role that physical bodies play for agents as their interactions produce complex emergent behaviors to achieve ...
Minoru Asada, Peter Stone, Hiroaki Kitano, Barry B...
— After several years of developing multiple RoboCup small-size robot soccer teams, our CMDragons robot team achieved a highly successful level of performance, winning both the 2...
James Bruce, Stefan Zickler, Mmichael Licitra, Man...
Abstract. In the context of the RoboCup Simulation League, we describe a new representation of a software agent’s visual perception (“scene”), well suited for case-based reas...
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...