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Cognitive Carpentry - A Blueprint for How to Build a Person (Paperback)
Loot Price: R1,229
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Cognitive Carpentry - A Blueprint for How to Build a Person (Paperback)
Series: MIT Press
Expected to ship within 10 - 15 working days
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A sequel to Pollock's How to Build a Person, this volume builds
upon that theoretical groundwork for the implementation of
rationality through artificial intelligence. Pollock argues that
progress in AI has stalled because of its creators' reliance upon
unformulated intuitions about rationality. Instead, he bases the
OSCAR architecture upon an explicit philosophical theory of
rationality, encompassing principles of practical cognition,
epistemic cognition, and defeasible reasoning. In his
groundbreaking new book, John Pollock establishes an outpost at the
crossroads where artificial intelligence meets philosophy.
Specifically, he proposes a general theory of rationality and then
describes its implementation in OSCAR, an architecture for an
autonomous rational agent he claims is the first AI system capable
of performing reasoning that philosophers would regard as
epistemically sophisticated. A sequel to Pollock's How to Build a
Person, this volume builds upon that theoretical groundwork for the
implementation of rationality through artificial intelligence.
Pollock argues that progress in AI has stalled because of its
creators' reliance upon unformulated intuitions about rationality.
Instead, he bases the OSCAR architecture upon an explicit
philosophical theory of rationality, encompassing principles of
practical cognition, epistemic cognition, and defeasible reasoning.
One of the results is the world's first automated defeasible
reasoner capable of reasoning in a rich, logical environment.
Underlying Pollock's thesis is a conviction that the tenets of
artifical intelligence and those of philosophy can be complementary
and mutually beneficial. And, while members of both camps have in
recent years grown skeptical of the very possibility of "symbol
processing" AI, Cognitive Carpentry establishes that such an
approach to AI can be successful. A Bradford Book
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