Novelty-Seeking Multi-Agent System

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Simo Linkola, Tapio Takala and Hannu Toivonen: Novelty-Seeking Multi-Agent System. In: Computational Creativity 2016 ICCC 2016, 1-8



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.

Extended Abstract


 author = {Simo Linkola, Tapio Takala and Hannu Toivonen},
 title = {Novelty-Seeking Multi-Agent System},
 booktitle = {Proceedings of the Seventh International Conference on Computational Creativity},
 series = {ICCC2016},
 year = {2016},
 month = {Jun-July},
 location = {Paris, France},
 pages = {1-8},
 url = { },
 publisher = {Sony CSL Paris},

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