We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constr...
Cooperation and autonomy are two antagonistic core variables of agent-based systems, and a key challenge in designing such systems is to balance these variables appropriately. Thi...
Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to devel...
Claudio A. Policastro, Roseli A. F. Romero, Giovan...
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...
Abstract. Constraint Satisfaction has been widely used to model static combinatorial problems. However, many AI problems are dynamic and take place in a distributed environment, i....