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Philosophy and Theory of Artificial Intelligence

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Cover of 'Philosophy and Theory of Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Mentality?
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    Chapter 2 ‘Quantum Linguistics’ and Searle’s Chinese Room Argument
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    Chapter 3 The Physics and Metaphysics of Computation and Cognition
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    Chapter 4 The Two (Computational) Faces of AI
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    Chapter 5 The Info-computational Nature of Morphological Computing
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    Chapter 6 Limits of Computational Explanation of Cognition
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    Chapter 7 Of (Zombie) Mice and Animats
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    Chapter 8 Generative Artificial Intelligence
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    Chapter 9 Turing Revisited: A Cognitively-Inspired Decomposition
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    Chapter 10 The New Experimental Science of Physical Cognitive Systems
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    Chapter 11 Philosophy and Theory of Artificial Intelligence
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    Chapter 12 Practical Introspection as Inspiration for AI
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    Chapter 13 “Computational Ontology and Deontology”
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    Chapter 14 Emotional Control–Conditio Sine Qua Non for Advanced Artificial Intelligences?
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    Chapter 15 Becoming Digital: Reconciling Theories of Digital Representation and Embodiment
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    Chapter 16 A Pre-neural Goal for Artificial Intelligence
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    Chapter 17 Intentional State-Ascription in Multi-Agent Systems
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    Chapter 18 Snapshots of Sensorimotor Perception: Putting the Body Back into Embodiment
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    Chapter 19 Feasibility of Whole Brain Emulation
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    Chapter 20 C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes
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    Chapter 21 Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI
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    Chapter 22 Introducing Experion as a Primal Cognitive Unit of Neural Processing
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    Chapter 23 The Frame Problem
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    Chapter 24 Machine Intentionality, the Moral Status of Machines, and the Composition Problem
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    Chapter 25 Risks and Mitigation Strategies for Oracle AI
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    Chapter 26 The Past, Present, and Future Encounters between Computation and the Humanities
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    Chapter 27 Being-in-the-AmI: Pervasive Computing from Phenomenological Perspective
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    Chapter 28 The Influence of Engineering Theory and Practice on Philosophy of AI
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    Chapter 29 Artificial Intelligence Safety Engineering: Why Machine Ethics Is a Wrong Approach
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    Chapter 30 What to Do with the Singularity Paradox?
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Citations

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Title
Philosophy and Theory of Artificial Intelligence
Published by
Springer-Verlag Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-31674-6
ISBNs
978-3-64-231673-9, 978-3-64-231674-6, 978-3-64-243683-3
Authors

Vincent C. Müller, Nasuto, Slawomir J., Bishop, John Mark, van der Zant, Tijn, Kouw, Matthijs, Schomaker, Lambert

Editors

Vincent C. Müller

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Canada 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Student > Bachelor 5 14%
Student > Master 5 14%
Other 5 14%
Unspecified 5 14%
Other 7 19%
Readers by discipline Count As %
Computer Science 12 32%
Engineering 6 16%
Unspecified 4 11%
Philosophy 4 11%
Social Sciences 4 11%
Other 7 19%