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Looking for a Synergy between Human and Artificial Cognition

  • Conference paper
Modeling and Using Context (CONTEXT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8175))

Abstract

Contextually based reasoning is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over the lifetime through experiential learning. Given the goal of artificial intelligence to mimic human intelligence, it is essential to include such contextual considerations in system design and implementation. We compare selected computational architectures and cognitive paradigms on the basis of key elements in human intelligence understanding in order to illustrate the similarities and differences between the two viewpoints and highlight the potential effectiveness of context based computing. In the literature, we discover meaningful parallels between the assessment of context in cognition and computation which have implications for both fields of study.

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Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory, Department of EECS- CS Division, University of Central Florida, USA

    Jeanne E. Parker, Avelino J. Gonzalez & Shane T. Parker

  2. Valencia College, Lake Nona Campus, USA

    Debra L. Hollister

  3. LIP6, Université Pierre et Marie Curie (UPMC), France

    Patrick Brézillon

Authors
  1. Jeanne E. Parker
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  2. Debra L. Hollister
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  3. Avelino J. Gonzalez
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  4. Patrick Brézillon
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  5. Shane T. Parker
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Editor information

Editors and Affiliations

  1. University Pierre and Marie Curie (UPMC), Place Jussieu 4, 75005, Paris, France

    Patrick Brézillon

  2. University of Roskilde, 4000, Roskilde, Denmark

    Patrick Blackburn

  3. LISTIC - Polytech’Savoie, University of Savoie, P.O. Box 80439, 74944, Annecy-le-Vieux Cedex, France

    Richard Dapoigny

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Parker, J.E., Hollister, D.L., Gonzalez, A.J., Brézillon, P., Parker, S.T. (2013). Looking for a Synergy between Human and Artificial Cognition. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-40972-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40971-4

  • Online ISBN: 978-3-642-40972-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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