Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

This paper introduces the concepts of distributed intelligence, outlining the motivations for
studying this field of research. We then classify common systems of distributed intelligence …

Develo** a safe and efficient collision-avoidance policy for multiple robots is challenging
in the decentralized scenarios where each robot generates its paths with limited observation …

The role concept provides a useful tool to design and understand complex multi-agent
systems, which allows agents with a similar role to share similar behaviors. However …

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 …

Within the context of multiple mobile, and networked robot systems, this chapter explores the
current state of the art. After a brief introduction, we first examine architectures for multirobot …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

We consider decentralized control of Markov decision processes and give complexity
bounds on the worst-case running time for algorithms that find optimal solutions …

Despite more than a decade of experimental work in multi-robot systems, important
theoretical aspects of multi-robot coordination mechanisms have, to date, been largely …

Abstract Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than
two decades. DAI is concerned with systems that consist of multiple independent entities that …