Modelling Natural Action Selection
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| 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) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 408950 RelevancyScore: 1044 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1044.26904296875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modelling Natural Action Selection – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au 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> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+computer+simulation%22">Digital computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making--Computer+simulation%22">Decision making--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+neuroscience%22">Cognitive neuroscience</searchLink><br /><searchLink fieldCode="DE" term="%22Neurobiology--Computer+simulation%22">Neurobiology--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Neurobiology%22">Neurobiology</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Cognitive+Science%22">SCIENCE / Cognitive Science</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Evolution%22">SCIENCE / Life Sciences / Evolution</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 Titles: – TitleFull: Modelling Natural Action Selection Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Anil K. Seth – PersonEntity: Name: NameFull: Tony J. Prescott – PersonEntity: Name: NameFull: Joanna J. Bryson – PersonEntity: Name: NameFull: Anil K. Seth – PersonEntity: Name: NameFull: Tony J. Prescott – PersonEntity: Name: NameFull: Joanna J. Bryson IsPartOfRelationships: – BibEntity: 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 Type: main |
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