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Philosophy and Theory of Artificial Intelligence [electronic resource] / edited by Vincent C. M�uller.

Contributor(s): M�uller, Vincent C [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Applied Philosophy, Epistemology and Rational Ethics: 5Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIV, 418 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642316746.Subject(s): Engineering | Philosophy of mind | Artificial intelligence | Computational intelligence | Robotics | Automation | Engineering | Robotics and Automation | Computational Intelligence | Philosophy of Mind | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 629.892 Online resources: Click here to access online
Contents:
Computation & Method -- Cognition -- Ethics & Society.
In: Springer eBooksSummary: 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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Computation & Method -- Cognition -- Ethics & Society.

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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