Abstract. Robot soccer is a challenging research domain, which involves multiple agents (physical robots or ”softbots”) to work together in a dynamic, noisy, cooperative and ad...
Hui Wang, Han Wang, Chunmiao Wang, William Y. C. S...
Abstract. This paper presents a set of mechanisms oriented to incorporate social information into the decision taking of task-oriented 3DIVA. The aim of this approach is to integra...
Francisco Grimaldo, Miguel Lozano, Fernando Barber...
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
Abstract. In open scenarios, agents willing to cooperate must impact the communication barrier between them and their unknown partners. If agents are not relying on any agreement a...
Maria Teresa Pazienza, Savino Sguera, Armando Stel...