Novelty-Seeking Multi-Agent Systems

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Linkola , S , Takala , T & Toivonen , H 2016 , Novelty-Seeking Multi-Agent Systems . in F Pachet , A Cardoso , V Corruble & F Ghedini (eds) , Proceedings of The Seventh International Conference on Computational Creativity . Sony CSL , Paris, France , pp. 1-8 , International Conference on Computational Creativity , Paris , France , 27/06/2016 .

Title: Novelty-Seeking Multi-Agent Systems
Alternative title: Uutuutta etsivät moniagenttijärjestelmät
Author: Linkola, Simo; Takala, Tapio; Toivonen, Hannu
Other contributor: Pachet, François
Cardoso, Amilcar
Corruble, Vincent
Ghedini , Fiammetta
Contributor organization: Helsinki Institute for Information Technology
Department of Computer Science
Discovery Research Group/Prof. Hannu Toivonen
Publisher: Sony CSL
Date: 2016-06-30
Language: eng
Number of pages: 8
Belongs to series: Proceedings of The Seventh International Conference on Computational Creativity
ISBN: 978-274-669-155-1
Abstract: This paper considers novelty-seeking multi-agent systems as a step towards more efficient generation of creative artifacts. We describe a simple multi-agent architecture where agents have limited resources and exercise self-criticism, veto power and voting to collectively regulate which artifacts are selected to the domain i.e., the cultural storage of the system. To overcome their individual resource limitations, agents have a limited access to the artifacts already in the domain which they can use to guide their search for novel artifacts. Creating geometric images called spirographs as a case study, we show that novelty-seeking multi-agent systems can be more productive in generating novel artifacts than a single-agent or monolithic system. In particular, veto power is in our case an effective collaborative decision-making strategy for enhancing novelty of domain artifacts, and self-criticism of agents can significantly reduce the collaborative effort in decision making.
Subject: 113 Computer and information sciences
computational creativity
multi-agent systems
novelty seeking
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion
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