Steering the Growth of Adaptive Self-Preserving Dissipative Structures

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dc.contributor.author Egbert, Matthew en
dc.contributor.author Kolezhitskiy, Yan en
dc.contributor.author Virgo, N en
dc.date.accessioned 2020-09-15T22:21:17Z en
dc.date.available 2020-09-15T22:21:17Z en
dc.date.issued 2019-07-15 en
dc.identifier.citation Artificial Life Conference Proceedings. Massachusetts Institute of Technology. 255-262. 15 Jul 2019 en
dc.identifier.uri http://hdl.handle.net/2292/52882 en
dc.description.abstract In the 1950s, the famous cyberneticists Gordon Pask and Stafford Beer conducted a series of remarkable electrochemical deposition experiments. By applying an electric potential across electrodes submerged in an acidic solution of ferrous sulfate, they could bias the growth of electrochemical deposition so as to form functional structures including sensory structures capable of distinguishing between different sounds. Unfortunately, the details of their apparatus and methods are unavailable. As a consequence, their experiment has not been replicated, and the precise mechanisms underlying their results remain unknown. As preliminary steps toward recreating their remarkable results, this paper presents a new computational model that simulates the growth and decay of dendritic structures similar to those investigated by Beer & Pask. We use this model to demonstrate a plausible mechanism through which an electrochemical system of this kind could respond to a reinforcement signal. More specifically, we investigate three strategies for varying the applied electrical current so as to guide the formation of structures into target forms. Each presented strategy succeeds at influencing the growth of the structure, with the most successful strategy involving a ‘constant-current’ feedback mechanism combined with an externally driven oscillation. In the discussion, we compare the adaptation of these structures with various biological adaptive processes, including evolution and metabolism-based adaptive behaviour. en
dc.relation.ispartof Proceedings of The 2019 Conference on Artificial Life en
dc.relation.ispartofseries The 2019 Conference on Artificial Life en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.title Steering the Growth of Adaptive Self-Preserving Dissipative Structures en
dc.type Conference Item en
dc.identifier.doi 10.1162/isal_a_00171 en
dc.rights.holder Copyright: Massachusetts Institute of Technology en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 809993 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.record-created-at-source-date 2020-08-10 en


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