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Embodied Artificial Intelligence: Trends and Challenges

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Embodied Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3139))

Abstract

The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent history. In the 1980s there has been a major paradigm shift towards embodiment. While embodied artificial intelligence is still highly diverse, changing, and far from “theoretically stable”, a certain consensus about the important issues and methods has been achieved or is rapidly emerging. In this non-technical paper we briefly characterize the field, summarize its achievements, and identify important issues for future research. One of the fundamental unresolved problems has been and still is how thinking emerges from an embodied system. Provocatively speaking, the central issue could be captured by the question “How does walking relate to thinking?”

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Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Department of Informatics, University of Zurich, Andreasstrasse 15, CH-8050, Zurich, Switzerland

    Rolf Pfeifer & Fumiya Iida

Authors
  1. Rolf Pfeifer
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  2. Fumiya Iida
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Editor information

Editors and Affiliations

  1. Artificial Intelligence Laboratory, Department of Informatics, University of Zurich, Andreasstrasse 15, CH-8050, Zurich, Switzerland

    Fumiya Iida  & Rolf Pfeifer  & 

  2. VUB AI Lab, Vrije Universiteit Brussels, Pleinlaan 2, 1050, Brussels, Belgium

    Luc Steels

  3. JST ERATO Asada Synergistic Intelligence Project,  

    Yasuo Kuniyoshi

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Pfeifer, R., Iida, F. (2004). Embodied Artificial Intelligence: Trends and Challenges. In: Iida, F., Pfeifer, R., Steels, L., Kuniyoshi, Y. (eds) Embodied Artificial Intelligence. Lecture Notes in Computer Science(), vol 3139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27833-7_1

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  • DOI: https://doi.org/10.1007/978-3-540-27833-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22484-6

  • Online ISBN: 978-3-540-27833-7

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