Causality, Correlation And Artificial Intelligence For Rational Decision Making

Causality, Correlation And Artificial Intelligence For Rational Decision Making
Uitgever: WSPC
  • Engels
  • Hardcover
  • 9789814630863
  • Druk: 1
  • maart 2015
  • 208 pagina's
Alle productspecificaties

Samenvatting

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman–Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.

Productspecificaties

Inhoud

Taal
Engels
Bindwijze
Hardcover
Druk
1
Verschijningsdatum
2015-01-05
Afmetingen
24,8 x 17,1 x 1,9 cm
Aantal pagina's
208 pagina's
Illustraties
Nee

Betrokkenen

Auteur
Tshilidzi Marwala
Uitgever
WSPC

EAN

EAN
9789814630863

Overige kenmerken

Extra groot lettertype
Nee
Oorspronkelijke releasedatum
2015-03-04
Thema Subject Code
UYQ

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