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Distributed Intelligence: Overview of the Field and its Application in Multi-robot Systems

Author(s): Lynne E Parker

Journal: Journal of Physical Agents
ISSN 1888-0258

Volume: 2;
Issue: 1;
Start page: 5;
Date: 2008;
Original page

Keywords: Distributed intelligence | multi-robot systems

This article overviews the concepts of distributed intelligence, outlining the motivations for studying this field of research. First, common systems of distributed intelligence are classified based upon the types of interactions exhibited, since the type of interaction has relevance to the solution paradigm to be used. We outline three common paradigms for distributed intelligence — the bioinspired paradigm, the organizational and social paradigm, and the knowledge-based, ontological paradigm — and give examples of how these paradigms can be used in multi-robot systems. We then look at a common problem in multi- robot systems — that of task allocation — and show how the solution approach to this problem is very different depending upon the paradigm chosen for abstracting the problem. Our conclusion is that the paradigms are not interchangeable, but rather the selection of the appropriate paradigm is dependent upon the specific constraints and requirements of the application of interest. Further work is needed to provide guidance to the system designer on selecting the proper abstraction, or paradigm, for a given problem.crew, the landing signal officers, ordnancemen, plane handlers, etc. As humans have clearly learned, these teams can very efficiently solve complex tasks by making use of specialists who work together productively. The objective of distributed intelligence in computer science (and related fields) is to generate systems of software agents, robots, sensors, computer systems, and even people and ani- mals (such as search and rescue dogs) that can work together with the same level of efficiency and expertise as human teams. Clearly, such systems could address many important challenges, including not only urban search and rescue, but also military network-centric operations, gaming technologies and simulation, computer security, transportation and logistics, and many others. As a research topic, the study of distributed intelligence
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