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Computational Autism / by Boris Galitsky

By: Galitsky, Boris
Contributor(s): SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Human-Computer Interaction Series, 1571-5035).Publisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XI, 380 páginas) : 149 ilustraciones, 78 ilustraciones en color.ISBN: 9783319399720.Subject: Neurología | Inteligencia artificial en medicinaDDC classification: 006.3 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Computational Models of Autism -- Intuitive Theory of Mind -- Formalizing Theory of Mind -- Theory of Mind Engine -- Reasoning Beyond the Mental World -- Autistic Learning and Cognition -- Rehabilitating Autistic Reasoning -- <From Reasoning to Behavior in the Real World -- Book Conclusions.
Abstract: This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher�s, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC553.A88 G355 2016 EB (Browse shelf(Opens below)) .i11596806 Acceso electrónico eBOOK .i11596806
Total holds: 0

Introduction -- Computational Models of Autism -- Intuitive Theory of Mind -- Formalizing Theory of Mind -- Theory of Mind Engine -- Reasoning Beyond the Mental World -- Autistic Learning and Cognition -- Rehabilitating Autistic Reasoning -- <From Reasoning to Behavior in the Real World -- Book Conclusions.

This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher�s, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.

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