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Intractability is a growing concern across the cognitive sciences:
while many models of cognition can describe and predict human
behavior in the lab, it remains unclear how these models can scale
to situations of real-world complexity. Cognition and
Intractability is the first book to provide an accessible
introduction to computational complexity analysis and its
application to questions of intractability in cognitive science.
Covering both classical and parameterized complexity analysis, it
introduces the mathematical concepts and proof techniques that can
be used to test one's intuition of (in)tractability. It also
describes how these tools can be applied to cognitive modeling to
deal with intractability, and its ramifications, in a systematic
way. Aimed at students and researchers in philosophy, cognitive
neuroscience, psychology, artificial intelligence, and linguistics
who want to build a firm understanding of intractability and its
implications in their modeling work, it is an ideal resource for
teaching or self-study.
Intractability is a growing concern across the cognitive sciences:
while many models of cognition can describe and predict human
behavior in the lab, it remains unclear how these models can scale
to situations of real-world complexity. Cognition and
Intractability is the first book to provide an accessible
introduction to computational complexity analysis and its
application to questions of intractability in cognitive science.
Covering both classical and parameterized complexity analysis, it
introduces the mathematical concepts and proof techniques that can
be used to test one's intuition of (in)tractability. It also
describes how these tools can be applied to cognitive modeling to
deal with intractability, and its ramifications, in a systematic
way. Aimed at students and researchers in philosophy, cognitive
neuroscience, psychology, artificial intelligence, and linguistics
who want to build a firm understanding of intractability and its
implications in their modeling work, it is an ideal resource for
teaching or self-study.
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