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A human-inspired collective intelligence model for multi-agent based system

The collaborative and competitive nature of multi-agent systems (MAS) is visible through the simple social mode of communication that emerges between human-agent interactions or agent-to-agent interactions. A simple mode of communication involves the fundamental actions carried out by individual age...

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Main Authors: Gunasekaran S.S., Ahmad M.S., Mostafa S.A.
Other Authors: 55652730500
Format: Article
Published: Universiti Putra Malaysia Press 2023
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spelling my.uniten.dspace-231012023-05-29T14:37:46Z A human-inspired collective intelligence model for multi-agent based system Gunasekaran S.S. Ahmad M.S. Mostafa S.A. 55652730500 56036880900 37036085800 The collaborative and competitive nature of multi-agent systems (MAS) is visible through the simple social mode of communication that emerges between human-agent interactions or agent-to-agent interactions. A simple mode of communication involves the fundamental actions carried out by individual agents in achieving their desired goal. The sum of these achievements contribute to the overall group goal. Comparatively, the collective intelligence (CI) of a MAS simply means that these agents should work together to produce better solutions than those made possible when using the traditional approach. In designing MAS with CI properties, formalisation of a higher level deliberation process is essential. A high level deliberation process refers to the judgement comprehension of tasks, reasoning and problem solving and planning. In this paper, we propose our Collective Intelligence Model, CIM, which has the potential to control and coordinate a high-level deliberation process of a MAS. CIM is inspired by the emerging processes of controlled discussion, argumentation and negotiation between two or more intelligent human agents. These processes screen and validate the deliberation process through a cross-fertilisation approach. The emergent property of the cross-fertilised ideas results in an intelligent solution that solves optimisation-related tasks. � 2017 Universiti Putra Malaysia Press. Final 2023-05-29T06:37:46Z 2023-05-29T06:37:46Z 2017 Article 2-s2.0-85049143080 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049143080&partnerID=40&md5=e9e631c5bd99b503f2bef0fd68e77ea0 https://irepository.uniten.edu.my/handle/123456789/23101 25 S10 39 54 Universiti Putra Malaysia Press Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The collaborative and competitive nature of multi-agent systems (MAS) is visible through the simple social mode of communication that emerges between human-agent interactions or agent-to-agent interactions. A simple mode of communication involves the fundamental actions carried out by individual agents in achieving their desired goal. The sum of these achievements contribute to the overall group goal. Comparatively, the collective intelligence (CI) of a MAS simply means that these agents should work together to produce better solutions than those made possible when using the traditional approach. In designing MAS with CI properties, formalisation of a higher level deliberation process is essential. A high level deliberation process refers to the judgement comprehension of tasks, reasoning and problem solving and planning. In this paper, we propose our Collective Intelligence Model, CIM, which has the potential to control and coordinate a high-level deliberation process of a MAS. CIM is inspired by the emerging processes of controlled discussion, argumentation and negotiation between two or more intelligent human agents. These processes screen and validate the deliberation process through a cross-fertilisation approach. The emergent property of the cross-fertilised ideas results in an intelligent solution that solves optimisation-related tasks. � 2017 Universiti Putra Malaysia Press.
author2 55652730500
author_facet 55652730500
Gunasekaran S.S.
Ahmad M.S.
Mostafa S.A.
format Article
author Gunasekaran S.S.
Ahmad M.S.
Mostafa S.A.
spellingShingle Gunasekaran S.S.
Ahmad M.S.
Mostafa S.A.
A human-inspired collective intelligence model for multi-agent based system
author_sort Gunasekaran S.S.
title A human-inspired collective intelligence model for multi-agent based system
title_short A human-inspired collective intelligence model for multi-agent based system
title_full A human-inspired collective intelligence model for multi-agent based system
title_fullStr A human-inspired collective intelligence model for multi-agent based system
title_full_unstemmed A human-inspired collective intelligence model for multi-agent based system
title_sort human-inspired collective intelligence model for multi-agent based system
publisher Universiti Putra Malaysia Press
publishDate 2023
_version_ 1806428168506048512
score 13.211869

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