Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

We envision a future in which the global economy and the Internet will merge, evolving into
an information economy bustling with billions of economically motivated software agents that …

Learning behaviors in a multiagent environment is crucial for develo** and adapting
multiagent systems. Reinforcement learning techniques have addressed this problem for a …

Objective. We present the first generic theoretical formulation of the co-adaptive learning
problem and give a simple example of two interacting linear learning systems, a human and …

We present congregating both as a metaphor for describing and modeling multiagent
systems (MAS) and as a means for reducing coordination costs in large-scale MAS. When …

To coordinate, intelligent agents might need to know something about themselves, about
each other, about how others view themselves and others, about how others think others …

In this paper we study a class of resource allocation games which are inspired by the El
Farol Bar problem. We consider a system of competitive agents that have to choose between …

We analyze the problem of learning about other agents in a class of dynamic multiagent
systems, where performance of the primary agent depends on behavior of the others. We …

Markets for electronic goods provide the possibility of exploring new and more complex
pricing schemes, due to the flexibility of information goods and negligible marginal cost. In …

We present congregating both as a metaphor for describing and modeling multi-agent
systems (MAS) and as a means for reducing coordination costs. We show how …