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Why We Need Evolutionary Semantics

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KI 2011: Advances in Artificial Intelligence (KI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7006))

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Abstract

One of the key components for achieving flexible, robust, adaptive and open-ended language-based communication between humans and robots - or between robots and robots - is rich deep semantics. AI has a long tradition of work in the representation of knowledge, most of it within the logical tradition. This tradition assumes that an autonomous agent is able to derive formal descriptions of the world which can then be the basis of logical inference and natural language understanding or production. This paper outlines some difficulties with this logical stance and reports alternative research on the development of an ‘embodied cognitive semantics’ that is grounded in the world through a robot’s sensori-motor system and is evolutionary in the sense that the conceptual frameworks underlying language are assumed to be adapted by agents in the course of dialogs and thus undergo constant change.

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Author information

Authors and Affiliations

  1. ICREA, IBE(UPF-CSIC), Barcelona, Spain

    Luc Steels

  2. Sony Computer Science Laboratory, Paris, France

    Luc Steels

Authors
  1. Luc Steels
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Editor information

Editors and Affiliations

  1. Berlin School of Mind and Brain, Humboldt-University of Berlin, Unter den Linden 6, 10099, Berlin, Germany

    Joscha Bach

  2. TZI-Technologie-Zentrum Informatik und Informationstechnik, University of Bremen, Postfach 33 04 40, 28334, Bremen, Germany

    Stefan Edelkamp

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© 2011 Springer-Verlag Berlin Heidelberg

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Steels, L. (2011). Why We Need Evolutionary Semantics. In: Bach, J., Edelkamp, S. (eds) KI 2011: Advances in Artificial Intelligence. KI 2011. Lecture Notes in Computer Science(), vol 7006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24455-1_2

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  • DOI: https://doi.org/10.1007/978-3-642-24455-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24454-4

  • Online ISBN: 978-3-642-24455-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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