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Energy Constraints and Behavioral Complexity: The Case of a Robot with a Living Core
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0002-8400-5153
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0002-1525-0745
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.ORCID iD: 0000-0001-6883-2450
2011 (English)In: Complex Adaptive Systems: Energy, Information, and Intelligence: Papers from the AAAI Fall Symposium / [ed] Mirsad Hadžikadić; Ted Carmichael, Palo Alto, Calif.: AAAI Press, 2011, p. 109-116Conference paper, Published paper (Refereed)
Abstract [en]

The new scenarios of contemporary adaptive robotics seem to suggest a transformation of the traditional methods. In the search for new approaches to the control of adaptive autonomous systems, the mind becomes a fundamental source of inspiration. In this paper we anticipate, through the use of simulation, the cognitive and behavioral properties that emerge from a recent prototype robotic platform, EcoBot, a family of bio-mechatronic symbionts provided with an 'artificial metabolism', that has been under physical development during recent years. Its energy reliance on a biological component and the consequent limitation of its supplied energy determine a special kind of dynamic coupling between the robot and its environment. Rather than just an obstacle, energetic constraints become the opportunity for the development of a rich set of behavioral and cognitive properties.

Place, publisher, year, edition, pages
Palo Alto, Calif.: AAAI Press, 2011. p. 109-116
Series
Technical report (American Association for Artificial Intelligence) ; FS-11-03
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6383Scopus ID: 2-s2.0-84856511483ISBN: 978-1-57735-547-2 (print)ISBN: 1-57735-547-4 (print)OAI: oai:DiVA.org:his-6383DiVA, id: diva2:551543
Conference
2011 AAAI Fall Symposium; Arlington, VA; 4 November 2011 through 6 November 2011
Note

Copyright © 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Available from: 2012-09-11 Created: 2012-09-11 Last updated: 2024-05-21Bibliographically approved

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ScopusFulltexthttps://www.aaai.org/ocs/index.php/FSS/FSS11/

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Montebelli, AlbertoLowe, RobertZiemke, Tom

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