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, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component;
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, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed;
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understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area;
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. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these;
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, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.;
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First published in 1982, Ellery Eells' original work on rational decision making had extensive implications for probability theorists;
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First published in 1982, Ellery Eells' original work on rational decision making had extensive implications for probability theorists;
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This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new;
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Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring;
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This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI;
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Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types;
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, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this;
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This book constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI;
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Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making;
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This book constitutes the refereed proceedings of the 17th International Conference on Modeling Decisions for Artificial Intelligence, MDAI;
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revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has;
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discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion;
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technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully;
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This book constitutes the proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2009;
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Decision Making will be of interest to researchers in decision making, artificial intelligence, soft computing, operations management, and;
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book that provides a link between decision-making and action. This book provides a bridge between the latest results in artificial intelligence;
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For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to;
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revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has;
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The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated;
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both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support;
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techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.;
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