Supportive and Antagonistic Behaviour in Distributed Computational Creativity via Coupled Empowerment Maximisation

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Guckelsberger, Christian, Salge, Christophe, Saunders, Rob and Colton, Simon (2016) Supportive and Antagonistic Behaviour in Distributed Computational Creativity via Coupled Empowerment Maximisation. In: Proceedings of the Seventh International Conference on Computational Creativity, France.

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Abstract / Summary

There has been a strong tendency in distributed computational creativity systems to embrace embodied and situated agents for their flexible and adaptive behaviour. Intrinsically mo- tivated agents are particularly successful in this respect, be- cause they do not rely on externally specified goals, and can thus react flexibly to changes in open-ended environments. While supportive and antagonistic behaviour is omnipresent when people interact in creative tasks, existing implementa- tions cannot establish such behaviour without constraining their agents’ flexibility by means of explicitly specified in- teraction rules. More open approaches in contrast cannot guarantee that support or antagonistic behaviour ever comes about. We define the information-theoretic principle of cou- pled empowerment maximisation as an intrinsically moti- vated frame for supportive and antagonistic behaviour within which agents can interact with maximum flexibility. We pro- vide an intuition and a formalisation for an arbitrary number of agents. We then draw on several case-studies of co-creative and social creativity systems to make detailed predictions of the potential effect the underlying empowerment maximisa- tion principle might have on the behaviour of creative agents.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science, Information & General Works
Courses by Department: The Games Academy > Digital Games
Depositing User: Simon Colton
Date Deposited: 23 Jun 2017 13:10
Last Modified: 23 Nov 2023 13:45
URI: https://falmouth-test.eprints-hosting.org/id/eprint/2559

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