This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …

Many researchers have demonstrated that the organizational design employed by an agent
system can have a significant, quantitative effect on its performance characteristics. A range …

Decision-theoretic planning is a popular approach to sequential decision making problems,
because it treats uncertainty in sensing and acting in a principled way. In single-agent …

Both human collaboration and software agent collaboration have been thoroughly studied,
but there is relatively little research on hybrid human-agent teamwork. Some research has …

Among researchers in multi-agent systems there has been growing interest in using
intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is …

In the pursuit of an efficient cooperative multi-robot system, the researcher must eventually
answer the question “how should robots communicate?”; a natural way to attack this …

Planning under uncertainty faces a scalability problem when considering multi-robot teams,
as the information space scales exponentially with the number of robots. To address this …

Extreme teams, large-scale agent teams operating in dynamic environments, are on the
horizon. Such environments are problematic for current task allocation algorithms due to the …

This chapter presents an overview of the decentralized POMDP (Dec-POMDP) framework. In
a Dec-POMDP, a team of agents collaborates to maximize a global reward based on local …

Many multi-agent systems consist of a complex network of autonomous yet interdependent
agents. Examples of such networked multi-agent systems include supply chains and sensor …