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Anotace knihy

Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science. Provides readers a thorough understanding of the uncertainty that arises in artificial intelligence (AI), computational intelligence (CI) paradigms, and algorithmsEncourages readers to put concepts into practice and solve complex real-world problems using CI development frameworks like decision support systems and visual decision designProvides a comprehensive overview of the techniques used in computational intelligence, uncertainty, and decision

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Uncertainty in Computational Intelligence-Based Decision Making
• Autor: Ali Ahmadian, Soheil Salahshour, Valentina Emila Balas, Dumitru Baleanu
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 350
• EAN: 9780443214752
• ISBN: 0443214751
• ID: 45119302
• Datum vydání: 01. September 2024

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