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Cognitive Robotics, Enactive Perception, and Learning in the Real World
University of Skövde, The Informatics Research Centre. University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2007 (English)In: CogSci 2007: The 29th Annual Conference of the Cognitive Science Society, 2007, 485-490 p.Conference paper, Published paper (Refereed)
Abstract [en]

Robotic cognitive modeling in the real world requires a level of integration and grounding rarely seen in more abstract modeling. However, like Newell we believe this is exactly the kind of integration needed to promote scientific cumulation in the cognitive sciences. We present a neural model of learning compatible with Noë’s account of enactive perception. We highlight that accounts of enactive perception tend to oversimplify the problem of identifying contingent relationships and introduce a novel way to address the problem of marginal regularities. Finally, we describe a general (non-task specific) model and present a number of real-world robotic experiments demonstrating a wide range of integrated psychological phenomena.

Place, publisher, year, edition, pages
2007. 485-490 p.
Keyword [en]
Cognitive robotics, enactive perception, learning, cognitive modeling, association, reservoir systems, dynamic liquid association, liquid state machine, echo state network.
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-2095ISBN: 0-9768318-3-X OAI: oai:DiVA.org:his-2095DiVA: diva2:32371
Available from: 2008-05-30 Created: 2008-05-30 Last updated: 2013-03-18

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http://www.cogsci.rpi.edu/CSJarchive/Proceedings/2007/docs/p485.pdf

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Morse, Antony FZiemke, Tom
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  • apa
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