Modelling Natural Action Selection

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Bibliographic Details
Title: Modelling Natural Action Selection
Description: Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computational modelling, this book explores cutting-edge research into action selection in nature from a wide range of disciplines, from neuroscience to behavioural ecology, and even political science. It delivers new insights into both detailed and systems-level attributes of natural intelligence and demonstrates advances in methodological practice. Contributions from leading researchers cover issues including whether biological action selection is optimal, neural substrates for action selection in the vertebrate brain, perceptual selection in decision making, and interactions between group and individual action selection. This first integrated review of action selection in nature contains a balance of review and original research material, consolidating current knowledge into a valuable reference for researchers while illustrating potential paths for future studies.
Authors: Anil K. Seth, Tony J. Prescott, Joanna J. Bryson
Resource Type: eBook.
Subjects: Cognition, Digital computer simulation, Decision making--Computer simulation, Cognitive neuroscience, Neurobiology--Computer simulation, Computer simulation, Neurobiology
Categories: SCIENCE / Cognitive Science, SCIENCE / Life Sciences / Evolution
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 408950
RelevancyScore: 1044
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1044.26904296875
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  Data: Modelling Natural Action Selection
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  Data: Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computational modelling, this book explores cutting-edge research into action selection in nature from a wide range of disciplines, from neuroscience to behavioural ecology, and even political science. It delivers new insights into both detailed and systems-level attributes of natural intelligence and demonstrates advances in methodological practice. Contributions from leading researchers cover issues including whether biological action selection is optimal, neural substrates for action selection in the vertebrate brain, perceptual selection in decision making, and interactions between group and individual action selection. This first integrated review of action selection in nature contains a balance of review and original research material, consolidating current knowledge into a valuable reference for researchers while illustrating potential paths for future studies.
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  Data: <searchLink fieldCode="AR" term="%22Anil+K%2E+Seth%22">Anil K. Seth</searchLink><br /><searchLink fieldCode="AR" term="%22Tony+J%2E+Prescott%22">Tony J. Prescott</searchLink><br /><searchLink fieldCode="AR" term="%22Joanna+J%2E+Bryson%22">Joanna J. Bryson</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 612.8233
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Cognition
        Type: general
      – SubjectFull: Digital computer simulation
        Type: general
      – SubjectFull: Decision making--Computer simulation
        Type: general
      – SubjectFull: Cognitive neuroscience
        Type: general
      – SubjectFull: Neurobiology--Computer simulation
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Neurobiology
        Type: general
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      – TitleFull: Modelling Natural Action Selection
        Type: main
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            NameFull: Anil K. Seth
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            NameFull: Tony J. Prescott
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2012
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781107000490
            – Type: isbn-electronic
              Value: 9781139161312
          Titles:
            – TitleFull: Modelling Natural Action Selection
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