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Embodied Intelligence

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Springer Handbook of Computational Intelligence

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Abstract

Embodied intelligence is the computational approach to the design and understanding of intelligent behavior in embodied and situated agents through the consideration of the strict coupling between the agent and its environment (situatedness), mediated by the constraints of the agent’s own body, perceptual and motor system, and brain (embodiment). The emergence of the field of embodied intelligence is closely linked to parallel developments in computational intelligence and robotics, where the focus is on morphological computation and sensory–motor coordination in evolutionary robotics models, and in neuroscience and cognitive sciences where the focus is on embodied cognition and developmental robotics models of embodied symbol learning. This chapter provides a theoretical and technical overview of some principles of embodied intelligence, namely morphological computation, sensory–motor coordination, and developmental embodied cognition. It will also discuss some tutorial examples on the modeling of body/brain/environment adaptation for the evolution of morphological computational agents, evolutionary robotics model of navigation and object discrimination, and developmental robotics models of language and numerical cognition in humanoid robots.

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Abbreviations

ACP:

active categorical perception

DOF:

degree of freedom

EC:

embodied cognition

OM:

operational momentum

RGB:

red-green-blue

RT:

reaction time

SNARC:

spatial–numerical association of response code

SOM:

self-organizing map

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Authors and Affiliations

  1. Centre for Robotics and Neural Systems, Plymouth University, Drake Circus, PL4 8AA, Plymouth, UK

    Angelo Cangelosi

  2. Dep. Computer Science, University of Vermont, 33 Colchester Ave., VT 05405, Burlington, USA

    Josh Bongard

  3. Psychology Dep., University of Potsdam, Karl-Liebknecht-Str. 24/25, 14476, Potsdam OT Golm, Germany

    Martin H. Fischer

  4. Inst. Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR-ISTC), Via S. Martino della Battaglia, 44, 00185, Roma, Italy

    Stefano Nolfi

Authors
  1. Angelo Cangelosi
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  2. Josh Bongard
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  3. Martin H. Fischer
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  4. Stefano Nolfi
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Correspondence to Angelo Cangelosi or Josh Bongard .

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Editors and Affiliations

  1. Systems Research Inst., Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Cangelosi, A., Bongard, J., Fischer, M.H., Nolfi, S. (2015). Embodied Intelligence. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_37

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