CAUSALITY, CORRELA & ARTIFICIAL INTELL RATIONAL DECIS MAKING - Hardcover

Marwala Tshilidzi

 
9789814630863: CAUSALITY, CORRELA & ARTIFICIAL INTELL RATIONAL DECIS MAKING
Hardcover
ISBN 10: 9814630861 ISBN 13: 9789814630863
Verlag: World Scientific, 2015

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

PROFESSOR TSHILIDZI MARWALA is the vice-chancellor and principal of the University of Johannesburg. A professor of Electrical Engineering, Marwala is a leading thinker in artificial intelligence and was the chair of System Engineering at the University of the Witwatersrand. A respected academic and author, Marwala has served as a trustee of the Nelson Mandela Foundation and as a councillor at the National Advisory Council on Innovation. He is now deputy to President Cyril Ramaphosa on the South African Presidential Commission on the Fourth Industrial Revolution.

Von der hinteren Coverseite

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.

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Verlag
World Scientific
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
9814630861
ISBN 13 
9789814630863
Einband
Gebundene Ausgabe
Anzahl der Seiten
208
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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