Jimenez-Rodriguez, A., Prescott, T.J. orcid.org/0000-0003-4927-5390, Schmidt, R. orcid.org/0000-0002-2474-3744 et al. (1 more author) (2020) A framework for resolving motivational conflict via attractor dynamics. In: Vouloutsi, V., Mura, A., Tauber, F., Speck, T., Prescott, T.J. and Verschure, P.F.M.J., (eds.) Biomimetic and Biohybrid Systems : 9th International Conference, Living Machines 2020, Freiburg, Germany, July 28–30, 2020, Proceedings. Living Machines 2020, 28-30 Jul 2020, Freiburg, Germany. Lecture Notes in Computer Science (12413). Springer, Cham , pp. 192-203. ISBN 9783030643126
Abstract
Motivation modulates behaviour depending upon contextual and internal cues. Like animals, successful artificial agents must implement different behavioural strategies in order to satisfy dynamical needs. Such causal factors emerge from internal homeostatic or allostatic processes, as well as from external stimuli or threats. However, when two or more needs coalesce, a situation of motivational conflict ensues. In this work we present a four-stage dynamical framework for the resolution of motivational conflict based upon principles from dynamical systems and statistical mechanics. As a central mechanism for the resolution of conflict we propose the use of potentials with multiple wells or minima. This model leads to behavioural switching either by means of a bifurcation or by the stochastic escape from one of the wells. We present analytical and simulation results that reproduce known motivational conflict phenomena observed in the study of animal behaviour, in the case of two conflicting motivations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Biomimetic and Biohybrid Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 785907; 945539 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Jan 2022 09:09 |
Last Modified: | 17 Jan 2022 09:17 |
Status: | Published |
Publisher: | Springer, Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-64313-3_19 |
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Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182589 |