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Contextual Reasoning in Human Cognition and the Implications for Artificial Intelligence Systems

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Modeling and Using Context (CONTEXT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10257))

Abstract

It has been widely known that reasoning with and about context is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over a lifetime through experiential learning. Given that one goal of artificial intelligence has been to create human-like intelligence in a machine, it is essential to include such contextual considerations in system design and implementation. This paper extends the discussion about contextual reasoning in humans and how modeling it in a computer program can help to get closer to the ultimate intelligent machine.

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Author information

Authors and Affiliations

  1. Psychological Sciences, Valencia College- Lake Nona Campus, Orlando, FL, USA

    Debra L. Hollister

  2. Computer Science Department, University of Central Florida, Orlando, FL, USA

    Avelino Gonzalez & James Hollister

Authors
  1. Debra L. Hollister
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  2. Avelino Gonzalez
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  3. James Hollister
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Corresponding author

Correspondence to Debra L. Hollister .

Editor information

Editors and Affiliations

  1. Pierre and Marie Curie University , Paris, France

    Patrick Brézillon

  2. University of Maine , Orono, Maine, USA

    Roy Turner

  3. University of Genoa , Genoa, Italy

    Carlo Penco

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Hollister, D.L., Gonzalez, A., Hollister, J. (2017). Contextual Reasoning in Human Cognition and the Implications for Artificial Intelligence Systems. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_48

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  • DOI: https://doi.org/10.1007/978-3-319-57837-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57836-1

  • Online ISBN: 978-3-319-57837-8

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