Novelty-Seeking Multi-Agent Systems

Simo Linkola, Tapio Takala, Hannu Toivonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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.
Translated title of the contributionUutuutta etsivät moniagenttijärjestelmät
Original languageEnglish
Title of host publicationProceedings of The Seventh International Conference on Computational Creativity
EditorsFrançois Pachet, Amilcar Cardoso, Vincent Corruble, Fiammetta Ghedini
Number of pages8
Place of PublicationParis, France
PublisherSony CSL
Publication date30 Jun 2016
Pages1-8
ISBN (Print)978-274-669-155-1
Publication statusPublished - 30 Jun 2016
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Computational Creativity - Paris, France
Duration: 27 Jun 20161 Jul 2016
Conference number: 7 (ICCC 2016)

Fields of Science

  • 113 Computer and information sciences
  • computational creativity
  • multi-agent systems
  • novelty seeking

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