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035   $a(DE-He213)978-3-030-20621-5
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100   $a20190904d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aMorphological Intelligence $eMeasuring the Body?s Contribution to Intelligence /$fby Keyan Ghazi-Zahedi
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XIII, 180 p. 70 illus., 40 illus. in color.) 
311   $a3-030-20620-3 
327   $aFrom Morphological Computation to Morphological Intelligence -- Information Theory ? A Practical Primer -- A Theory of Morphological Intelligence -- Numerical Analysis of the Morphological Intelligence Quantifications -- Applications. .
330   $aIntelligence results from the interaction of the brain, body and environment. The question addressed in this book is, can we measure the contribution of the body and its' interaction with the environment? To answer this, we first present a comprehensive overview of the various ways in which a body reduces the amount of computation that the brain has to perform to solve a task. This chapter will broaden your understanding of how important inconspicuously appearing physical processes and physical properties of the body are with respect to our cognitive abilities. This form of contribution to intelligence is called Morphological Intelligence. The main contribution of this book to the field is a detailed discussion of how Morphological Intelligence can be measured from observations alone. The required mathematical framework is provided so that readers unfamiliar with information theory will be able to understand and apply the measures. Case studies from biomechanics and soft robotics illustrate how the presented quantifications can, for example, be used to measure the contribution of muscle physics to jumping and optimise the shape of a soft robotic hand. To summarise, this monograph presents various examples of how the physical properties of the body and the body?s interaction with the environment contribute to intelligence. Furthermore, it treats theoretical and practical aspects of Morphological Intelligence and demonstrates the value in two case studies.
606   $aArtificial intelligence
606   $aBioinformatics
606   $aBiomechanics
606   $aCoding theory
606   $aInformation theory
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aBiomechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/L29020
606   $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041
615  0$aArtificial intelligence.
615  0$aBioinformatics.
615  0$aBiomechanics.
615  0$aCoding theory.
615  0$aInformation theory.
615 14$aArtificial Intelligence.
615 24$aComputational Biology/Bioinformatics.
615 24$aBiomechanics.
615 24$aCoding and Information Theory.
676   $a006.3
676   $a153
700   $aGhazi-Zahedi$b Keyan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061784
906   $aBOOK
912   $a9910349284403321
996   $aMorphological Intelligence$92520055
997   $aUNINA