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Cognitive Behavioural Systems pp 365–376Cite as

Motivated Learning in Computational Models of Consciousness

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7403))

Abstract

Much work has gone into designing and implementing agents capable of “cognitive” thought. In this paper, we give an overview of a motivated learning model and describe various ways in which we are in the process of implementing the model for simulation purposes. This work presents three different software platforms (Blender, iCub, and NeoAxis) through which an intelligent conscious agent can be implemented. This article presents the concept of a computational model of consciousness as a feature of a cognitive agent and discusses how it might be implemented/simulated.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Ohio University, Athens, OH, USA

    James Graham

  2. University of Information Technology and Management, Rzeszow, Poland

    Daniel Jachyra

Authors
  1. James Graham
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  2. Daniel Jachyra
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Editor information

Editors and Affiliations

  1. Department of Psychology, and IIASS, Seconda Università degli Studi di Napoli, Italy

    Anna Esposito

  2. Istituto Nazionale di Geofisica e Vulcanologia, sezione di Napoli Osservatorio Vesuviano, Napoli, Italy

    Antonietta M. Esposito

  3. School of Computing Science, University of Glasgow, Glasgow, UK

    Alessandro Vinciarelli

  4. Laboratory of Acoustics and Speech Communication, Technische Universität Dresden, 01062, Dresden, Germany

    Rüdiger Hoffmann

  5. Dept. of Humanities and Social Sciences, Anatolia College/ACT, P.O. Box 21021, 55510, Pylaia, Greece

    Vincent C. Müller

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© 2012 Springer-Verlag Berlin Heidelberg

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Graham, J., Jachyra, D. (2012). Motivated Learning in Computational Models of Consciousness. In: Esposito, A., Esposito, A.M., Vinciarelli, A., Hoffmann, R., Müller, V.C. (eds) Cognitive Behavioural Systems. Lecture Notes in Computer Science, vol 7403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34584-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-34584-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34583-8

  • Online ISBN: 978-3-642-34584-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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