Agent technology has recently become one of the most vibrant and fastest growing areas in
information technology. Within this booming area, intelligent information agents are …

Cooperation plays a key role in the evolution of complex systems. However, the level of
cooperation extensively varies with the topology of agent networks in the widely used …

In this paper, the multi-agent learning methods in an uncertain environment are addressed.
The advantages and disadvantages of each algorithm are given. Rationality and …

In this paper, a new viewpoint," individuality" and" sociality", is introduced for analyzing the
multi-agent system's behavior. A hypothesis is set up that the both behavioral characters …

In the context of multi-agent systems, we are proposing a hierarchical robot control
architecture that comprises artificial intelligence (AI) techniques and traditional control …

In this paper, a concept of individuality and sociality is introduced as a method to avoid
conflicts of individual interests in multi-agent systems. It is considered that each agent has its …

Distributed learning in expert referral networks is an emerging challenge in the intersection
of Active Learning and Multi-Agent Reinforcement Learning, where experts—humans or …

The benefit obtained by a selfish robot by cheating in a real multirobotic system can be
represented by the random variable Xn, q: the number of cheating interactions needed …

Learning in multi-agent environments constitutes a research and application area whose
importance is broadly acknowledged in artificial intelligence. There is a rapidly growing …

Is there an advantage in cooperating with others, even if they are weaker than you,
compared to simply forcing them to do your bidding? A simple model is explored, and the …