Details der Publikation - Philosophy and theory of artificial intelligence

Philosophy and theory of artificial intelligence / Vincent C. Müller (ed.)

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..

Medienart:	E-Book

Erscheinungsjahr:	2013
Erschienen:	Berlin, Heidelberg: Springer ; 2013

Reproduktion:	Springer eBook Collection. Engineering

Reihe:	Studies in Applied Philosophy, Epistemology and Rational Ethics - 5

Sprache:	Englisch

Beteiligte Personen:	Müller, Vincent C. [Sonstige Person]

Links:	Volltext [lizenzpflichtig] Inhaltsverzeichnis Inhaltstext

ISBN:	978-3-642-31674-6

BKL:	54.72 / Künstliche Intelligenz
Themen:	Artificial intelligence Aufsatzsammlung Berechenbarkeit Embodiment Engineering Ethik Künstliche Intelligenz Kognitionswissenschaft Philosophy of mind

RVK:	RVK Klassifikation ST 300 VC 6150

Anmerkungen:	Description based upon print version of record

Umfang:	Online-Ressource (XIII, 413 S.) ; Ill., graph. Darst

doi:	10.1007/978-3-642-31674-6

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	723770433

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505	8	0	\|a Title Page; Introductory Note: Philosophy and Theory of Artificial Intelligence; Contents; Computation and Method; Cognition; Ethics and Society; Machine Mentality?; Introduction; Historical Background; Turing (1950); Testing Turing's Prediction; An Intuition Based Strategy; A Search Engine Based Strategy; Corpus Linguistics; Stable Corpora; Discussion; Ontology and Objections; The Metaphor Objection; The Derivative Intentionality Objection; Conclusion; References; 'Quantum Linguistics' and Searle's Chinese Room Argument; Background; Quantum Physics; Quantum Picturalism
505	8	0	\|a Is Syntax Sufficient for Semantics?The Chinese Room Argument; Complex Rule-Books; Quantum Linguistics; Conclusion; References; The Physics and Metaphysics of Computation and Cognition; Introduction; Physicalism and Emergence; Systems and Degrees of Freedom; Emergence and Constraint; Information and Computation; The Computational Model of Cognition; Causal Structure and Computation; Effective Dynamics and Computational Transitions; Conclusion; References; The Two (Computational) Faces of AI; Introduction; Explaining Cognition; Engineering Intelligence; The Requirements Phase; The Design Phase
505	8	0	\|a Back to Basics...Is Cognition Symbolic or Connectionist?; Connectionist Insights; Internal & External Symbols; Connectionist Logic?; To Conclude; References; The Info-computational Nature of Morphological Computing; Introduction; Morphological Computing; Information as a Fabric of Reality; Computation. The Computing Universe: Pancomputationalism; Info-computationalism; Information Self-structuring (Self-organization); Cognition as Restructuring of an Agent in the Interaction with the Environment
505	8	0	\|a Morphogenesis as Computation (Information Processing). Turing's Reaction-Diffusion Model of MorphogenesisInfo-Computationalism and Morphological Computing Are Models of Computation and Not Just Metaphors; References; Limits of Computational Explanation of Cognition; Understanding Computational Cognitive Science; Mechanistic Account of Computational Explanation; From Levels to Limits; Is There Cognition without Information-Processing?; A Plea for Pluralism; References; Of (Zombie) Mice and Animats; Introduction; Chinese Room Argument; Intentionality in Computational Systems?
505	8	0	\|a Robotic Reply and EnactivismDoes Cognitive Robotics Escape the CRA?; Modern Embodiments; Animats; Zombie Rodent - An Ultimate Embodiment; From Intuition Pump to Physical Realisation of Thought Experiment; Conclusions; References; Generative Artificial Intelligence; Introduction; Virtual-Actual; Flat Ontologies and the Machinic Phylum; Minor Science and Royal Science; Closed and Open Systems in Artificial Intelligence; Experiments in Generative AI; Learning; Humans?; No Humans, Machines!; What Is Needed?; First Glimpses; Concluding Remarks; References
505	8	0	\|a Turing Revisited: A Cognitively-Inspired Decomposition
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