From Animals To Robots And Back: Reflections On Hard Problems In The Study Of Cognition: A Collection In Honour Of Aaron Sloman by Jeremy L. WyattFrom Animals To Robots And Back: Reflections On Hard Problems In The Study Of Cognition: A Collection In Honour Of Aaron Sloman by Jeremy L. Wyatt

From Animals To Robots And Back: Reflections On Hard Problems In The Study Of Cognition: A…

byJeremy L. WyattEditorDean D. Petters, David C. Hogg

Hardcover | July 30, 2014

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Cognitive Science is a discipline that brings together research in natural and artificial systems and this is clearly reflected in the diverse contributions toFrom Animals to Robots and Back.

In tribute to Aaron Sloman and his pioneering work in Cognitive Science and Artificial Intelligence, the editors have collected a unique collection of cross-disciplinary papers that include work on:

- intelligent robotics;

- philosophy of cognitive science;

- emotional research

- computational vision;

- comparative psychology; and

- human-computer interaction.

Key themes such as the importance of taking an architectural view in approaching cognition, run through the text. Drawing on the expertize of leading international researchers, contemporary debates in the study of natural and artificial cognition are addressed from complementary and contrasting perspectives with key issues being outlined at various levels of abstraction.

From Animals to Robots and Back, will give readers with backgrounds in the study of both natural and artificial cognition an important window on the state of the art in cognitive systems research.

Title:From Animals To Robots And Back: Reflections On Hard Problems In The Study Of Cognition: A…Format:HardcoverDimensions:258 pagesPublished:July 30, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319066137

ISBN - 13:9783319066134

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Table of Contents

Introduction.- Loss of Control Arising from Public Passions and Hidden Agendas.- Acting on the World: Understanding how Agents Use Information to Guide Their Actions.- Virtual Machines: Non-reductionist Bridges between the Functional and the Physical.- What Does It Mean to Have an Architecture?.- Building for the Future: Architectures for the Next Generation of Intelligent Robots.- Combining Planning and Action: Lessons from Robots and the Natural World.- What Vision Can, Can't and Should Do.- The Rocky Road from Hume to Kant: Correlations and Theories in Robots and Animals.- Experts Productive Learning from Formal Knowledge: Motive Generators and Productive Practice.- From Cognitive Science to Data Mining: The First Intelligence Amplifier.- Modelling User Linguistic Communicative Competences for Individual and Collaborative Learning.- Loop-closing Semantics and the Origin of Intentional States.