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From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition

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Cover of 'From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition'

Table of Contents

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    Book Overview
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    Chapter 1 Bringing Together Different Pieces to Better Understand Whole Minds
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    Chapter 2 Aaron Sloman: A Bright Tile in AI’s Mosaic
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    Chapter 3 Losing Control Within the H-Cogaff Architecture
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    Chapter 4 Acting on the World: Understanding How Agents Use Information to Guide Their Action
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    Chapter 5 A Proof and Some Representations
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    Chapter 6 What Does It Mean to Have an Architecture?
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    Chapter 7 Virtual Machines: Nonreductionist Bridges Between the Functional and the Physical
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    Chapter 8 Building for the Future: Architectures for the Next Generation of Intelligent Robots
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    Chapter 9 What Vision Can, Can’t and Should Do
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    Chapter 10 The Rocky Road from Hume to Kant: Correlations and Theories in Robots and Animals
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    Chapter 11 Combining Planning and Action, Lessons from Robots and the Natural World
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    Chapter 12 Developing Expertise with Objective Knowledge: Motive Generators and Productive Practice
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    Chapter 13 From Cognitive Science to Data Mining: The First Intelligence Amplifier
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    Chapter 14 Modelling User Linguistic Communicative Competences for Individual and Collaborative Learning
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    Chapter 15 Loop-Closing Semantics
Attention for Chapter 1: Bringing Together Different Pieces to Better Understand Whole Minds
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Chapter title
Bringing Together Different Pieces to Better Understand Whole Minds
Chapter number 1
Book title
From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-06614-1_1
Book ISBNs
978-3-31-906613-4, 978-3-31-906614-1
Authors

Dean Petters, Petters, Dean

View on publisher site

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