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The Challenge of Anticipation
A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems
Taschenbuch von Giovanni Pezzulo (u. a.)
Sprache: Englisch

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Beschreibung
The general idea that brains anticipate the future, that they engage in prediction, and that one means of doing this is through some sort of inner model that can be run of?ine,hasalonghistory. SomeversionoftheideawascommontoAristotle,aswell as to many medieval scholastics, to Leibniz and Hume, and in more recent times, to Kenneth Craik and Philip Johnson-Laird. One reason that this general idea recurs continually is that this is the kind of picture that introspection paints. When we are engaged in tasks it seems that we form images that are predictions, or anticipations, and that these images are isomorphic to what they represent. But as much as the general idea recurs, opposition to it also recurs. The idea has never been widely accepted, or uncontroversial among psychologists, cognitive scientists and neuroscientists. The main reason has been that science cannot be s- is?ed with metaphors and introspection. In order to gain acceptance, an idea needs to be formulated clearly enough so that it can be used to construct testable hypot- ses whose results will clearly supportor cast doubtupon the hypothesis. Next, those ideasthatare formulablein one oranothersortof symbolismor notationare capable of being modeled, and modeling is a huge part of cognitive neuroscience. If an idea cannot be clearly modeled, then there are limits to how widely it can be tested and accepted by a cognitive neuroscience community.
The general idea that brains anticipate the future, that they engage in prediction, and that one means of doing this is through some sort of inner model that can be run of?ine,hasalonghistory. SomeversionoftheideawascommontoAristotle,aswell as to many medieval scholastics, to Leibniz and Hume, and in more recent times, to Kenneth Craik and Philip Johnson-Laird. One reason that this general idea recurs continually is that this is the kind of picture that introspection paints. When we are engaged in tasks it seems that we form images that are predictions, or anticipations, and that these images are isomorphic to what they represent. But as much as the general idea recurs, opposition to it also recurs. The idea has never been widely accepted, or uncontroversial among psychologists, cognitive scientists and neuroscientists. The main reason has been that science cannot be s- is?ed with metaphors and introspection. In order to gain acceptance, an idea needs to be formulated clearly enough so that it can be used to construct testable hypot- ses whose results will clearly supportor cast doubtupon the hypothesis. Next, those ideasthatare formulablein one oranothersortof symbolismor notationare capable of being modeled, and modeling is a huge part of cognitive neuroscience. If an idea cannot be clearly modeled, then there are limits to how widely it can be tested and accepted by a cognitive neuroscience community.
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis
Theory.- Introduction: Anticipation in Natural and Artificial Cognition.- The Anticipatory Approach: Definitions and Taxonomies.- Benefits of Anticipations in Cognitive Agents.- Models, Architectures, and Applications.- Anticipation in Attention.- Anticipatory, Goal-Directed Behavior.- Anticipation and Believability.- Anticipation and Emotions for Goal Directed Agents.- A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map.- Anticipation by Analogy.- Anticipation in Coordination.- Endowing Artificial Systems with Anticipatory Capabilities: Success Cases.
Details
Erscheinungsjahr: 2008
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Lecture Notes in Artificial Intelligence
Inhalt: xvi
288 S.
ISBN-13: 9783540877011
ISBN-10: 3540877010
Sprache: Englisch
Herstellernummer: 12531196
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Pezzulo, Giovanni
Falcone, Rino
Castelfranchi, Cristiano
Butz, Martin V.
Herausgeber: Giovanni Pezzulo/Martin V Butz/Cristiano Castelfranchi et al
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Lecture Notes in Artificial Intelligence
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 17 mm
Von/Mit: Giovanni Pezzulo (u. a.)
Erscheinungsdatum: 16.09.2008
Gewicht: 0,47 kg
Artikel-ID: 101743603
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis
Theory.- Introduction: Anticipation in Natural and Artificial Cognition.- The Anticipatory Approach: Definitions and Taxonomies.- Benefits of Anticipations in Cognitive Agents.- Models, Architectures, and Applications.- Anticipation in Attention.- Anticipatory, Goal-Directed Behavior.- Anticipation and Believability.- Anticipation and Emotions for Goal Directed Agents.- A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map.- Anticipation by Analogy.- Anticipation in Coordination.- Endowing Artificial Systems with Anticipatory Capabilities: Success Cases.
Details
Erscheinungsjahr: 2008
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Lecture Notes in Artificial Intelligence
Inhalt: xvi
288 S.
ISBN-13: 9783540877011
ISBN-10: 3540877010
Sprache: Englisch
Herstellernummer: 12531196
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Pezzulo, Giovanni
Falcone, Rino
Castelfranchi, Cristiano
Butz, Martin V.
Herausgeber: Giovanni Pezzulo/Martin V Butz/Cristiano Castelfranchi et al
Hersteller: Springer-Verlag GmbH
Springer Berlin Heidelberg
Lecture Notes in Artificial Intelligence
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 17 mm
Von/Mit: Giovanni Pezzulo (u. a.)
Erscheinungsdatum: 16.09.2008
Gewicht: 0,47 kg
Artikel-ID: 101743603
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