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The Cognitive Body: From Dynamic Modulation to Anticipation
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.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2009 (English)In: Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008: From Psychological Theories to Artificial Cognitive Systems / [ed] Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre, Berlin, Heidelberg: Springer Berlin/Heidelberg, 2009, 132-151 p.Conference paper, (Refereed)
Abstract [en]

Starting from the situated and embodied perspective on the study of cognition as a source of inspiration, this paper programmatically outlines a path towards an experimental exploration of the role of the body in a minimal anticipatory cognitive architecture. Cognition is here conceived and synthetically analyzed as a broadly extended and distributed dynamic process emerging from the interplay between a body, a nervous system and their environment. Firstly, we show how a non-neural internal state, crucially characterized by slowly changing dynamics, can modulate the activity of a simple neurocontroller. The result, emergent from the use of a standard evolutionary robotic simulation, is a selforganized, dynamic action selection mechanism, effectively operating in a context dependent way. Secondly, we show how these characteristics can be exploited by a novel minimalist anticipatory cognitive architecture. Rather than a direct causal connection between the anticipationprocess and the selection of the appropriate behavior, it implements a model for dynamic anticipation that operates via bodily mediation (bodily-anticipation hypothesis). This allows the system to swiftly scale up to more complex tasks never experienced before, achieving flexible and robust behavior with minimal adaptive cost.

Place, publisher, year, edition, pages
Berlin, Heidelberg: Springer Berlin/Heidelberg, 2009. 132-151 p.
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 5499 LNAI
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3538DOI: 10.1007/978-3-642-02565-5_8ISI: 000269259700008Scopus ID: 2-s2.0-70349314535ISBN: 978-3-642-02564-8 OAI: oai:DiVA.org:his-3538DiVA: diva2:284550
Conference
The 4th Workshop on Anticipatory Behavior in Adaptive Learning Systems (ABiALS 2008), Munich, June 26–27, 2008
Note

The original publication is available at www.springerlink.com

Available from: 2010-01-07 Created: 2010-01-07 Last updated: 2015-10-29Bibliographically approved
In thesis
1. Modeling the Role of Energy Management in Embodied Cognition
Open this publication in new window or tab >>Modeling the Role of Energy Management in Embodied Cognition
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The quest for adaptive and autonomous robots, flexible enough to smoothly comply with unstructured environments and operate in close interaction with humans, seems to require a deep rethinking of classical engineering methods. The adaptivity of natural organisms, whose cognitive capacities are rooted in their biological organization, is an obvious source of inspiration. While approaches that highlight the role of embodiment in both cognitive science and cognitive robotics are gathering momentum, the crucial role of internal bodily processes as foundational components of the biological mind is still largely neglected.

This thesis advocates a perspective on embodiment that emphasizes the role of non-neural bodily dynamics in the constitution of cognitive processes in both natural and artificial systems. In the first part, it critically examines the theoretical positions that have influenced current theories and the author's own position. The second part presents the author's experimental work, based on the computer simulation of simple robotic agents engaged in energy-related tasks. Proto-metabolic dynamics, modeled on the basis of actual microbial fuel cells for energy generation, constitute the foundations of a powerful motivational engine. Following a history of adaptation, proto-metabolic states bias the robot towards specific subsets of behaviors, viably attuned to the current context, and facilitate a swift re-adaptation to novel tasks. Proto-metabolic dynamics put the situated nature of the agent-environment sensorimotor interaction within a perspective that is functional to the maintenance of the robot's overall `survival'. Adaptive processes tend to convert metabolic constraints into opportunities, branching into a rich and energetically viable behavioral diversity.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2012. 116 p.
Series
Linköping Studies in Science and Technology, ISSN 0345-7524 ; 1455
National Category
Computer and Information Science
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-6887 (URN)978-91-7519-882-8 (ISBN)
Note

Delarbeten:

1: Montebelli, A., Herrera, C. and Ziemke, T. (2008) On Cognition as Dynamical Coupling: An Analysis of Behavioral Attractor Dynamics, Adaptive Behavior, 16(2-3), pp. 182-195.

2: Montebelli, A., Ieropoulos, I., Lowe, R., Ziemke, T., Melhuish, C. and Greenman, J. An Oxygen-Diffusion Cathode MFC Model for Simulation of Energy-Autonomous Robots. (Manuskript (preprint))

3: Montebelli, A., Lowe, R., Ieropoulos, I., Melhuish, C., Greenman, J. and Ziemke, T. (2010) Microbial Fuel Cell Driven Behavioral Dynamics in Robot Simulations. In Artificial Life XII. Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, pp. 749-756.

4: Montebelli, A., Lowe, R. and Ziemke, T. Towards Metabolic Robotics: Insights from Modeling Embodied Cognition in a Bio-mechatronic symbiont. (Manuskript (preprint))

5: Montebelli, A., Lowe, R. and Ziemke, T. (2003) The Cognitive Body: from Dynamic Modulation to Anticipation. In Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems. Lecture Notes in Artivicial Intelligence, 2003:X, pp. 132-151.

6: Montebelli, A., Lowe, R. and Ziemke, T. (2010) More from the Body: Embodied anticipation for swift re-adaptation in neurocomputational cognitive architectures for robotic agents. In Advances in Cognitive Systems: Foundation, Theories, and Systems. pp. 249-270.

Available from: 2012-12-28 Created: 2012-12-05 Last updated: 2015-10-29Bibliographically approved

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