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03808nam a22005655i 4500 |
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978-3-642-37512-5 |
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20210617075945.0 |
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130413s2013 gw | s |||| 0|eng d |
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|a 9783642375125
|9 978-3-642-37512-5
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|a 10.1007/978-3-642-37512-5
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|a 006.3
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|a Han, The Anh.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Intention Recognition, Commitment and Their Roles in the Evolution of Cooperation
|h [electronic resource] :
|b From Artificial Intelligence Techniques to Evolutionary Game Theory Models /
|c by The Anh Han.
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|a 1st ed. 2013.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a XXIII, 167 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Studies in Applied Philosophy, Epistemology and Rational Ethics,
|x 2192-6255 ;
|v 9
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|a Introduction -- Intention Recognition Methods -- Intention Recognition, Commitment, and the Evolution of Cooperation. .
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|a This original and timely monograph describes a unique self-contained excursion that reveals to the readers the roles of two basic cognitive abilities, i.e. intention recognition and arranging commitments, in the evolution of cooperative behavior. This book analyses intention recognition, an important ability that helps agents predict others’ behavior, in its artificial intelligence and evolutionary computational modeling aspects, and proposes a novel intention recognition method. Furthermore, the book presents a new framework for intention-based decision making and illustrates several ways in which an ability to recognize intentions of others can enhance a decision making process. By employing the new intention recognition method and the tools of evolutionary game theory, this book introduces computational models demonstrating that intention recognition promotes the emergence of cooperation within populations of self-regarding agents. Finally, the book describes how commitment provides a pathway to the evolution of cooperative behavior, and how it further empowers intention recognition, thereby leading to a combined improved strategy. .
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|a Computational intelligence.
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|a Game theory.
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|a Artificial intelligence.
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|a Computational complexity.
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|a Cognitive psychology.
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|a Computational Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11014
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|a Game Theory, Economics, Social and Behav. Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13011
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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|a Complexity.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T11022
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|a Cognitive Psychology.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/Y20060
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642448706
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|i Printed edition:
|z 9783642375132
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|i Printed edition:
|z 9783642375118
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|a Studies in Applied Philosophy, Epistemology and Rational Ethics,
|x 2192-6255 ;
|v 9
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856 |
4 |
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|u https://doi.org/10.1007/978-3-642-37512-5
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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