Ebook: Philosophy and Theory of Artificial Intelligence

Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science.

We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

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Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science.

We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

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Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science.

We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Content:
Front Matter....Pages 1-10
Machine Mentality?....Pages 1-15
‘Quantum Linguistics’ and Searle’s Chinese Room Argument....Pages 17-28
The Physics and Metaphysics of Computation and Cognition....Pages 29-41
The Two (Computational) Faces of AI....Pages 43-58
The Info-computational Nature of Morphological Computing....Pages 59-68
Limits of Computational Explanation of Cognition....Pages 69-84
Of (Zombie) Mice and Animats....Pages 85-106
Generative Artificial Intelligence....Pages 107-120
Turing Revisited: A Cognitively-Inspired Decomposition....Pages 121-132
The New Experimental Science of Physical Cognitive Systems....Pages 133-150
Toward a Modern Geography of Minds, Machines, and Math....Pages 151-165
Practical Introspection as Inspiration for AI....Pages 167-177
“Computational Ontology and Deontology”....Pages 179-186
Emotional Control–Conditio Sine Qua Non for Advanced Artificial Intelligences?....Pages 187-198
Becoming Digital: Reconciling Theories of Digital Representation and Embodiment....Pages 199-213
A Pre-neural Goal for Artificial Intelligence....Pages 215-224
Intentional State-Ascription in Multi-Agent Systems....Pages 225-235
Snapshots of Sensorimotor Perception: Putting the Body Back into Embodiment....Pages 237-250
Feasibility of Whole Brain Emulation....Pages 251-264
C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes....Pages 265-276
Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI....Pages 277-287
Introducing Experion as a Primal Cognitive Unit of Neural Processing....Pages 289-305
The Frame Problem....Pages 307-319
Machine Intentionality, the Moral Status of Machines, and the Composition Problem....Pages 321-333
Risks and Mitigation Strategies for Oracle AI....Pages 335-347
The Past, Present, and Future Encounters between Computation and the Humanities....Pages 349-364
Being-in-the-AmI: Pervasive Computing from Phenomenological Perspective....Pages 365-373
The Influence of Engineering Theory and Practice on Philosophy of AI....Pages 375-388
Artificial Intelligence Safety Engineering: Why Machine Ethics Is a Wrong Approach....Pages 389-396
What to Do with the Singularity Paradox?....Pages 397-413
Back Matter....Pages 0--1

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Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science.

We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Content:
Front Matter....Pages 1-10
Machine Mentality?....Pages 1-15
‘Quantum Linguistics’ and Searle’s Chinese Room Argument....Pages 17-28
The Physics and Metaphysics of Computation and Cognition....Pages 29-41
The Two (Computational) Faces of AI....Pages 43-58
The Info-computational Nature of Morphological Computing....Pages 59-68
Limits of Computational Explanation of Cognition....Pages 69-84
Of (Zombie) Mice and Animats....Pages 85-106
Generative Artificial Intelligence....Pages 107-120
Turing Revisited: A Cognitively-Inspired Decomposition....Pages 121-132
The New Experimental Science of Physical Cognitive Systems....Pages 133-150
Toward a Modern Geography of Minds, Machines, and Math....Pages 151-165
Practical Introspection as Inspiration for AI....Pages 167-177
“Computational Ontology and Deontology”....Pages 179-186
Emotional Control–Conditio Sine Qua Non for Advanced Artificial Intelligences?....Pages 187-198
Becoming Digital: Reconciling Theories of Digital Representation and Embodiment....Pages 199-213
A Pre-neural Goal for Artificial Intelligence....Pages 215-224
Intentional State-Ascription in Multi-Agent Systems....Pages 225-235
Snapshots of Sensorimotor Perception: Putting the Body Back into Embodiment....Pages 237-250
Feasibility of Whole Brain Emulation....Pages 251-264
C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes....Pages 265-276
Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI....Pages 277-287
Introducing Experion as a Primal Cognitive Unit of Neural Processing....Pages 289-305
The Frame Problem....Pages 307-319
Machine Intentionality, the Moral Status of Machines, and the Composition Problem....Pages 321-333
Risks and Mitigation Strategies for Oracle AI....Pages 335-347
The Past, Present, and Future Encounters between Computation and the Humanities....Pages 349-364
Being-in-the-AmI: Pervasive Computing from Phenomenological Perspective....Pages 365-373
The Influence of Engineering Theory and Practice on Philosophy of AI....Pages 375-388
Artificial Intelligence Safety Engineering: Why Machine Ethics Is a Wrong Approach....Pages 389-396
What to Do with the Singularity Paradox?....Pages 397-413
Back Matter....Pages 0--1
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