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Artificial Intelligence Techniques for Rational Decision Making (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R1,846
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Artificial Intelligence Techniques for Rational Decision Making (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Advanced Information and Knowledge Processing
Expected to ship within 18 - 22 working days
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Develops insights into solving complex problems in engineering,
biomedical sciences, social science and economics based on
artificial intelligence. Some of the problems studied are in
interstate conflict, credit scoring, breast cancer diagnosis,
condition monitoring, wine testing, image processing and optical
character recognition. The author discusses and applies the concept
of flexibly-bounded rationality which prescribes that the bounds in
Nobel Laureate Herbert Simon’s bounded rationality theory are
flexible due to advanced signal processing techniques, Moore’s
Law and artificial intelligence. Artificial Intelligence Techniques
for Rational Decision Making examines and defines the concepts of
causal and correlation machines and applies the transmission theory
of causality as a defining factor that distinguishes causality from
correlation. It develops the theory of rational counterfactuals
which are defined as counterfactuals that are intended to maximize
the attainment of a particular goal within the context of a bounded
rational decision making process. Furthermore, it studies four
methods for dealing with irrelevant information in decision making:
Theory of the marginalization of irrelevant information Principal
component analysis Independent component analysis Automatic
relevance determination method In addition it studies the concept
of group decision making and various ways of effecting group
decision making within the context of artificial intelligence. Rich
in methods of artificial intelligence including rough sets, neural
networks, support vector machines, genetic algorithms, particle
swarm optimization, simulated annealing, incremental learning and
fuzzy networks, this book will be welcomed by researchers and
students working in these areas.
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