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  • 1
    UID:
    gbv_1832361772
    Format: 1 Online-Ressource (312 p.)
    ISBN: 9780262369978 , 9780262045353
    Series Statement: The MIT Press
    Content: The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior-a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a "first principles" approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning
    Note: English
    Additional Edition: Erscheint auch als Druck-Ausgabe Parr, Thomas, 1993 - Active inference Cambridge, Massachusetts : The MIT Press, 2022 ISBN 9780262045353
    Language: Undetermined
    Subjects: Biology
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  • 2
    UID:
    almahu_9947364304102882
    Format: XVI, 288 p. , online resource.
    ISBN: 9783540877028
    Series Statement: Lecture Notes in Computer Science, 5225
    Content: This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.
    Note: 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.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540877011
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Aufsatzsammlung ; Aufsatzsammlung
    URL: Volltext  (lizenzpflichtig)
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  • 3
    Book
    Book
    Cambridge, Massachusetts ; London, England :The MIT Press,
    UID:
    almafu_BV048238355
    Format: ix, 296 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-0-262-04535-3
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-0-262-36997-8 10.7551/mitpress/12441.001.0001
    Language: English
    Subjects: Biology , Psychology
    RVK:
    RVK:
    RVK:
    Keywords: Wahrnehmung ; Schlussfolgern ; Neurobiologie ; Bayes-Entscheidungstheorie
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almahu_BV035645043
    Format: XI, 333 S. : , graph. Darst. ; , 24 cm.
    ISBN: 978-3-642-02564-8
    Series Statement: Lecture notes in computer science 5499 : Lecture notes in artificial intelligence
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Lernendes System ; Adaptives System ; Antizipation ; Kognitive Psychologie ; Konferenzschrift ; Konferenzschrift
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  • 5
    UID:
    almahu_BV035093685
    Format: XVI, 288 S. : , Ill., graph. Darst. ; , 24 cm.
    ISBN: 978-3-540-87701-1
    Series Statement: Lecture notes in computer science 5225 : Lecture notes in artificial intelligence
    Note: Literaturverz. S. 255 - 288
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Künstliche Intelligenz ; Kognitiver Prozess ; Antizipation ; Aufsatzsammlung ; Aufsatzsammlung
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  • 6
    UID:
    b3kat_BV035656556
    Format: 1 Online-Ressource (XI, 333 S.) , graph. Darst.
    ISBN: 9783642025648 , 9783642025655
    Series Statement: Lecture notes in computer science 5499 : Lecture notes in artificial intelligence
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Lernendes System ; Adaptives System ; Antizipation ; Kognitive Psychologie ; Konferenzschrift ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
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  • 7
    UID:
    gbv_798782544
    Format: getr. Pag. , Ill., graph. Darst. , 30 cm
    ISBN: 9781782520986
    Series Statement: Philosophical transactions 369.2014, Nr. 1655
    Language: English
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  • 8
    UID:
    kobvindex_ZLB14936315
    Format: XVI, 288 Seiten , Ill., graph. Darst. , 24 cm
    ISBN: 9783540877011
    Series Statement: Lecture notes in computer science
    Note: Literaturverz. S. 255 - 288 , Text engl.
    Language: English
    Keywords: Künstliche Intelligenz ; Kognitiver Prozess ; Antizipation ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
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  • 9
    UID:
    kobvindex_ZLB15053674
    Format: XI, 333 Seiten , graph. Darst. , 24 cm
    ISBN: 9783642025648
    Series Statement: Lecture notes in computer science
    Note: Literaturangaben , Text engl.
    Language: English
    Keywords: Lernendes System ; Adaptives System ; Antizipation ; Kognitive Psychologie ; Kongress ; München 〈2008〉 ; Kongress ; Konferenzschrift
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  • 10
    UID:
    almahu_9947364195302882
    Format: X, 382 p. , online resource.
    ISBN: 9783540742623
    Series Statement: Lecture Notes in Computer Science, 4520
    Content: Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems. Similarly to the previous two workshops, the third workshop on anticipatory behavior in adaptive lea- ing systems (ABiALS 2006) has shown yet again that the similarities between di?erent anticipatory mechanisms in diverse cognitive systems are striking. The discussions and presentations on the workshop day of September 30th, 2006, during the Simulation of Adaptive Behavior Conference (SAB 2006), con?rmed that the investigations into anticipatory cognitive mechanisms for behavior and learning strongly overlap among researchers from various disciplines, including the whole interdisciplinary cognitive science area. Thus, further conceptualizations of anticipatory mechanisms seem man- tory. The introductory chapter of this volume therefore does not only provide an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. During the workshop it became clear that ant- ipations are involved in various cognitive processes that range from individual anticipatory mechanisms to social anticipatory behavior. This book re?ects this structure by ?rst providing neuroscienti?c as well as psychological evidence for anticipatorymechanismsinvolvedinbehavior,learning,language,andcognition. Next,individualpredictivecapabilitiesandanticipatorybehaviorcapabilitiesare investigated. Finally, anticipation relevant in social interaction is studied.
    Note: Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems -- Anticipatory Aspects in Brains, Language, and Cognition -- Neural Correlates of Anticipation in Cerebellum, Basal Ganglia, and Hippocampus -- The Role of Anticipation in the Emergence of Language -- Superstition in the Machine -- Individual Anticipatory Frameworks -- From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE -- Project “Animat Brain”: Designing the Animat Control System on the Basis of the Functional Systems Theory -- Cognitively Inspired Anticipatory Adaptation and Associated Learning Mechanisms for Autonomous Agents -- Schema-Based Design and the AKIRA Schema Language: An Overview -- Learning Predictions and Anticipations -- Training and Application of a Visual Forward Model for a Robot Camera Head -- A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task -- A Testbed for Neural-Network Models Capable of Integrating Information in Time -- Construction of an Internal Predictive Model by Event Anticipation -- Anticipatory Individual Behavior -- The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots -- An Intrinsic Neuromodulation Model for Realizing Anticipatory Behavior in Reaching Movement under Unexperienced Force Fields -- Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics -- Anticipatory Model of Musical Style Imitation Using Collaborative and Competitive Reinforcement Learning -- Anticipatory Social Behavior -- An Anticipatory Trust Model for Open Distributed Systems -- Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems -- Backward vs. Forward-Oriented Decision Making in the Iterated Prisoner’s Dilemma: A Comparison Between Two Connectionist Models -- An Experimental Study of Anticipation in Simple Robot Navigation.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540742616
    Language: English
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