Inter-Agent Variation Improves Dynamic Decentralized Task Allocation

Abstract

We examine the effects of inter-agent variation on the ability of a decentralized multi-agent system (MAS) to self-organize in response to dynamically changing task demands. In decentralized biological systems, inter-agent variation as minor as noise has been observed to improve a system's ability to redistribute agent resources in response to external stimuli. We compare the performance of two MAS consisting of agents with and without noisy sensors on a cooperative tracking problem and examine the effects of inter-agent variation on agent behaviors and how those behaviors affect system performance. Results show that small variations in how individual agents respond to stimuli can lead to more accurate and stable allocation of agent resources.

Publication Date

1-1-2018

Publication Title

Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

Number of Pages

366-369

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

85071914762 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85071914762

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