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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.
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 ISBN: 1-57735-547-4 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: 2023-01-04Bibliographically 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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