Novelty-Seeking Multi-Agent System
Inhaltsverzeichnis
Reference
Simo Linkola, Tapio Takala and Hannu Toivonen: Novelty-Seeking Multi-Agent System. In: Computational Creativity 2016 ICCC 2016, 1-8
DOI
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.
Extended Abstract
Bibtex
@inproceedings{
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 = {http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Novelty-Seeking-Multi-Agent-Systems.pdf http://de.evo-art.org/index.php?title=Novelty-Seeking_Multi-Agent_System },
publisher = {Sony CSL Paris},
}
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