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Books > Computing & IT > Applications of computing > Artificial intelligence
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Paperback, 2011 ed.)
Loot Price: R3,115
Discovery Miles 31 150
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Paperback, 2011 ed.)
Series: Atlantis Thinking Machines, 2
Expected to ship within 10 - 15 working days
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The general problem addressed in this book is a large and important
one: how to usefully deal with huge storehouses of complex
information about real-world situations. Every one of the major
modes of interacting with such storehouses - querying, data mining,
data analysis - is addressed by current technologies only in very
limited and unsatisfactory ways. The impact of a solution to this
problem would be huge and pervasive, as the domains of human
pursuit to which such storehouses are acutely relevant is numerous
and rapidly growing. Finally, we give a more detailed treatment of
one potential solution with this class, based on our prior work
with the Probabilistic Logic Networks (PLN) formalism. We show how
PLN can be used to carry out realworld reasoning, by means of a
number of practical examples of reasoning regarding human
activities inreal-world situations.
General
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