Multi-agent role allocation: issues, approaches, and multiple perspectives
Abbreviated Journal Title
Auton. Agents Multi-Agent Syst.
Keywords
Multi-agent systems; Role allocation; Task allocation; DIVISION-OF-LABOR; MULTIROBOT TASK ALLOCATION; INSECT SOCIETIES; SOCIAL; INSECTS; NEURAL-NETWORKS; MOBILE ROBOTS; THE-ART; SYSTEMS; COORDINATION; POLYETHISM; Automation & Control Systems; Computer Science, Artificial Intelligence
Abstract
In cooperative multi-agent systems, roles are used as a design concept when creating large systems, they are known to facilitate specialization of agents, and they can help to reduce interference in multi-robot domains. The types of tasks that the agents are asked to solve and the communicative capabilities of the agents significantly affect the way roles are used in cooperative multi-agent systems. Along with a discussion of these issues about roles in multi-agent systems, this article compares computational models of the role allocation problem, presents the notion of explicitly versus implicitly defined roles, gives a survey of the methods used to approach role allocation problems, and concludes with a list of open research questions related to roles in multi-agent systems.
Journal Title
Autonomous Agents and Multi-Agent Systems
Volume
22
Issue/Number
2
Publication Date
1-1-2011
Document Type
Article
Language
English
First Page
317
Last Page
355
WOS Identifier
ISSN
1387-2532
Recommended Citation
"Multi-agent role allocation: issues, approaches, and multiple perspectives" (2011). Faculty Bibliography 2010s. 1130.
https://stars.library.ucf.edu/facultybib2010/1130
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