Artificial Intelligence Techniques for Rational Decision Making

Name: Artificial Intelligence Techniques for Rational Decision Making
Brand: Springer International Publishing AG
SKU: 9783319114231
Price: 1147 CZK
Availability: InStock

Autor: Tshilidzi Marwala

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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Develops insights into solving complex problems in engineering, biomedical sciences, social science...

Informace o knize

Autor

Tshilidzi Marwala

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2014

Stránek

168

EAN

9783319114231

ISBN

3319114239

Enbook ID

05193485

Vydavatel

Springer International Publishing AG

Hmotnost

426

Rozměry

163 x 241 x 16

Kompletní popis

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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