From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition: A Collection in Honour of Aaron Sloman

Author:   Jeremy L. Wyatt ,  Dean D. Petters ,  David C. Hogg
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   22
ISBN:  

9783319066134


Pages:   258
Publication Date:   30 July 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition: A Collection in Honour of Aaron Sloman


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Author:   Jeremy L. Wyatt ,  Dean D. Petters ,  David C. Hogg
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   22
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   5.751kg
ISBN:  

9783319066134


ISBN 10:   3319066137
Pages:   258
Publication Date:   30 July 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Bringing together different pieces to better understand whole minds.- Aaron Sloman: A bright tile in AI’s mosaic.- Losing Control Within the H-Cogaff Architecture.- Acting on the world: understanding how agents use information to guide their action.- A Proof and some Representations.- What Does it Mean to Have an Architecture.- Virtual Machines: Non-Reductionist Bridges between the Functional and the Physical.- Building for the Future: Architectures for the Next Generation of Intelligent Robots.- What vision can, can't and should do.- The rocky road from Hume to Kant: correlations and theories in robots and animals.- Combining planning and action, lessons from robots and the natural world.- Developing expertise with objective 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.

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