Causality, Correlation And Artificial Intelligence For Rational Decision Making

Causality, Correlation And Artificial Intelligence For Rational Decision Making by Tshilidzi Marwala

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.

SKU	Nicht verfügbar
ISBN 13	9789814630863
ISBN 10	9814630861
Titel	Causality, Correlation And Artificial Intelligence For Rational Decision Making
Autor	Tshilidzi Marwala
Buchzustand	Nicht verfügbar
Bindungsart	Hardback
Verlag	World Scientific Publishing Co Pte Ltd
Erscheinungsjahr	2015-03-04
Seitenanzahl	208
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
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