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Causality, Correlation and Artificial Intelligence for Rational Decision Making, Marwala Tshilidzi


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Автор: Marwala Tshilidzi
Название:  Causality, Correlation and Artificial Intelligence for Rational Decision Making
ISBN: 9789814630863
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9814630861
Обложка/Формат: Hardback
Страницы: 208
Вес: 0.60 кг.
Дата издания: 04.03.2015
Серия: Computing & IT
Язык: English
Размер: 255 x 173 x 19
Читательская аудитория: Postgraduate, research & scholarly
Ключевые слова: Artificial intelligence, COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Intelligence (AI) & Semantics,COMPUTERS / Neural Networks
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

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.


Дополнительное описание: Contents: Artificial Intelligence; Rationality; Decision Making; Correlation; Causality; Optimization; Neural Networks; Granger Causality; Rubin Causality; Pearl Causality; Automatic Relevance Determination; Flexibly-bounded Rationality; Marginalization o



Artificial Intelligence Techniques for Rational Decision Making

Автор: Tshilidzi Marwala
Название: Artificial Intelligence Techniques for Rational Decision Making
ISBN: 3319382985 ISBN-13(EAN): 9783319382982
Издательство: Springer
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Цена: 11878.00 р.
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Описание:

Introduction to Rational Decision Making.- Casual Function for Rational Decision Making: Application to Militarized Interstate Disputes.- Correlation Function for Rational Decision Making: Application to Epileptic Activity.- Missing Data Approaches for Rational Decision Making: Application to Anecdotal Data.- Rational Counterfactuals and Decision Making: Application to Interstate Conflict.- Flexibility-Bounded Rationality in Interstate Conflict.- Filtering Irrelevant Information for Rational Decision Making.- Group Decision Making.- Conclusion.- Appendix A: Fourier Transform, Wavelet Transform, Modal Properties and Pseudo-Modal Energies.- Appendix B: Committee of Networks.

Expert Systems and Artificial Intelligence in Decision Support Systems

Автор: Henk G. Sol; Cees A.Th. Takkenberg; Pieter F. de V
Название: Expert Systems and Artificial Intelligence in Decision Support Systems
ISBN: 940108193X ISBN-13(EAN): 9789401081931
Издательство: Springer
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Цена: 23751.00 р.
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Описание: Proceedings of the Second Mini Euroconference, Lunteren, The Netherlands, November 17-20, 1985

Computational Intelligence and Decision Making

Автор: Ana Madureira; Cecilia Reis; Viriato Marques
Название: Computational Intelligence and Decision Making
ISBN: 9401783160 ISBN-13(EAN): 9789401783163
Издательство: Springer
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Цена: 25853.00 р.
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Описание:

Preface

1 The Process of Industrial Bioethanol Production Explained by Self-Organised Maps; Miguel A. Sanz-Bobi, Pablo Ruiz, and Julio Montes

2 Towards a Further Understanding of the Robotic Darwinian PSO; Micael S. Couceiro, Fernando M.L. Martins, Filipe Clemente, Rui P. Rocha, and Nuno M.F. Ferreira

3 A Comparison Study Between Two Hyperspectral Clustering Methods: KFCM and PSO-FCM; Amin Alizadeh Naeini, Saeid Niazmardi, Shahin Rahmatollahi Namin, Farhad Samadzadegan, and Saeid Homayouni

4 Comparison of Classification Methods for Golf Putting Performance Analysis; J. Miguel A. Luz, Micael S. Couceiro, David Portugal, Rui P. Rocha, Hйlder Araъjo, and Gonзalo Dias

5 Switched Unfalsified Multicontroller Nonparametric Model Based Design; Fernando Coito, Luнs Brito Palma, and Fernando Costa

6 Evolving Fuzzy Uncalibrated Visual Servoing for Mobile Robots; P.J.S. Gonзalves, P.J.F. Lopes, P.M.B. Torres, and J.M.R. Sequeira

7 Evaluating the Potential of Particle Swarm Optimization for Hyperspectral Image Clustering in Minimum Noise Fraction Feature Space; Shahin Rahmatollahi Namin, Amin Alizadeh Naeini, and Farhad Samadzadegan

8 On a Ball's Trajectory Model for Putting's Evaluation; Gonзalo Dias, Rui Mendes, Micael S. Couceiro, Carlos M. Figueiredo, and J. Miguel A. Luz

9 Efficient Discriminative Models for Proteomics with Simple and Optimized Features; Lionel Morgado, Carlos Pereira, Paula Verнssimo, and Antуnio Dourado

10 Meta-heuristics Self-Parameterization in a Multi-Agent Scheduling System Using Case-Based Reasoning; Ivo Pereira, Ana Madureira, and Paulo de Moura Oliveira

11 Haptic-Based Robot Teleoperation: Interacting with Real Environments; Pedro Neto, Nйlio Mourato and J. Norberto Pires

12 Multi-Agent Predictive Control with Application in Intelligent
Infrastructures; J.M. Igreja, S.J. Costa, J.M. Lemos, and F.M. Cadete

13 Single-Objective Spreading Algorithm; E. J. Solteiro Pires, Luнs Mendes, Antуnio M. Lopes, P. B. de Moura Oliveira, and J. A. Tenreiro Machado

14 Fault Tolerant Control Based on Adaptive LQG and Fuzzy Controllers; Carla Viveiros, Luis Brito Palma and Josй Manuel Igreja

15 P2P Web Service Based System for Supporting Decision-Making in Cellular Manufacturing Scheduling; Maria Leonilde R. Varela, Rui Barbosa, and Susana Costa

16 Web-Based Decision Support System for Orders Planning; Antуnio Arrais-Castro, Maria Leonilde R. Varela, and Sнlvio Carmo-Silva

17 Product Documentation Management Through REST-based Web Service; Filipe Rocha, Maria Leonilde R. Varela, and Sнlvio Carmo-Silva

18 Fuzzy Web Platform for Electrical Energy Losses Management; Gaspar Gonзalves Vieira, Maria Leonilde R. Varela, and Rita A. Ribeiro

19 Web System for Supporting Project Management; Cбtia Filipa Veiga Alves, Andrй Filipe Nogueira da Silva, and Maria Leonilde R. Varela

20 Generation Capacity Expansion Planning In Restructured Electricity Markets Using Genetic Algorithms; Adelino J. C. Pereira, and Joгo Tomй Saraiva

21 Decision Making in Maintainability of High Risk Industrial Equipment; Josй Sobral and Luis Ferreira

22 The Classification Platform Applied to Mammographic Images; P.J.S. Gonзalves

23 On an Optimization Model for Approximate Nonnegative Matrix Factorization; Ana Maria de Almeida

24 Random Walks in Electric Networks; D.M.L.D. Rasteiro

25 Business Intelligence Tools; Jorge Bernardino, and Marco Tereso

26 Food Service Management Web Platform based on XML Specification and Web Services; Pedro Sabioni, Vinнcius Carneiro, and Maria Leonilde R. Varela

27 Differential Evolution on the Minimization of Thermal Residual Stresses in Functional

Computational Intelligence Paradigms in Economic and Financial Decision Making

Автор: Marina Resta
Название: Computational Intelligence Paradigms in Economic and Financial Decision Making
ISBN: 3319365258 ISBN-13(EAN): 9783319365251
Издательство: Springer
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Цена: 11753.00 р.
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Описание: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.

Artificial Intelligence Techniques for Rational Decision Making

Автор: Tshilidzi Marwala
Название: Artificial Intelligence Techniques for Rational Decision Making
ISBN: 3319114239 ISBN-13(EAN): 9783319114231
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Artificial Intelligence Techniques for Rational Decision Making

Computational Intelligence Paradigms in Economic and Financial Decision Making

Автор: Marina Resta
Название: Computational Intelligence Paradigms in Economic and Financial Decision Making
ISBN: 331921439X ISBN-13(EAN): 9783319214399
Издательство: Springer
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Цена: 15672.00 р.
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Описание: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.

Artificial Intelligence in Industrial Decision Making, Control and Automation

Автор: S.G. Tzafestas; H. B. Verbruggen
Название: Artificial Intelligence in Industrial Decision Making, Control and Automation
ISBN: 9401041342 ISBN-13(EAN): 9789401041348
Издательство: Springer
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Цена: 6986.00 р.
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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Автор: Kenji Suzuki; Yisong Chen
Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
ISBN: 3319688421 ISBN-13(EAN): 9783319688428
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.


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