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 ot...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Mu ller, Vincent C.
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Studies in applied philosophy, epistemology and rational ethics, 5
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-31674-6
Summary: 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.
Carrier Form: 1 online resource.
ISBN: 9783642316746 (electronic bk.)
3642316743 (electronic bk.)
Index Number: Q335
CLC: TP18
Contents: Machine Mentality? /
'Quantum Linguistics' and Searle's Chinese Room Argument /
The Physics and Metaphysics of Computation and Cognition /
The Two (Computational) Faces of AI /
The Info-computational Nature of Morphological Computing /
Limits of Computational Explanation of Cognition /
Of (Zombie) Mice and Animats /
Generative Artificial Intelligence /
Turing Revisited: A Cognitively-Inspired Decomposition /
The New Experimental Science of Physical Cognitive Systems /
Toward a Modern Geography of Minds, Machines, and Math /
Practical Introspection as Inspiration for AI /
Computational Ontology and Deontology /
Emotional Control-Conditio Sine Qua Non for Advanced Artificial Intelligences? /
Becoming Digital: Reconciling Theories of Digital Representation and Embodiment /
A Pre-neural Goal for Artificial Intelligence /
Intentional State-Ascription in Multi-Agent Systems /
Snapshots of Sensorimotor Perception: Putting the Body Back into Embodiment /
Feasibility of Whole Brain Emulation /
C.S. Peirce and Artificial Intelligence: Historical Heritage and (New) Theoretical Stakes /
Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI /
Introducing Experion as a Primal Cognitive Unit of Neural Processing /
The Frame Problem /
Machine Intentionality, the Moral Status of Machines, and the Composition Problem /
Risks and Mitigation Strategies for Oracle AI /
The Past, Present, and Future Encounters between Computation and the Humanities /
Being-in-the-AmI: Pervasive Computing from Phenomenological Perspective /
The Influence of Engineering Theory and Practice on Philosophy of AI /
Artificial Intelligence Safety Engineering: Why Machine Ethics Is a Wrong Approach /
What to Do with the Singularity Paradox?