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Professor Judea Pearl won the 2011 Turing Award "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning." This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988-2001), and causality, recent period (2002-2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl's work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him.
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Cognitive psychology --- Developmental psychology --- Probability theory --- Cognition in children --- Probability learning --- Intuition --- 159.922.73 --- Intuition (Psychology) --- Intuitionalism --- Cognition --- Insight --- Learning, Psychology of --- Cognition (Child psychology) --- Thought and thinking in children --- Child psychology --- Intellektuele ontwikkeling van het kind --- Cognition in children. --- Intuition. --- Probability learning. --- 159.922.73 Intellektuele ontwikkeling van het kind --- Enfants --- Psychologie --- Probabilités --- Probabilités
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Psychology --- Cognition --- Stochastic processes --- Mathematical models --- Cognition. --- Models, Psychological. --- Probability Learning. --- Psychological Theory. --- Psychologic Theory --- Psychological Theories --- Theories, Psychological --- Theory, Psychological --- Psychologic Theories --- Theories, Psychologic --- Theory, Psychologic --- Learning, Probability --- Learnings, Probability --- Probability Learnings --- Models, Psychological --- Model, Mental --- Model, Psychological --- Models, Mental --- Models, Psychologic --- Psychological Models --- Mental Model --- Mental Models --- Model, Psychologic --- Psychologic Model --- Psychologic Models --- Psychological Model --- Cognitive Function --- Cognitions --- Cognitive Functions --- Function, Cognitive --- Functions, Cognitive --- Stochastic processes. --- Mathematical models. --- Probability Learning --- Psychological Theory --- Random processes --- Probabilities --- Factor analysis --- Psychometrics --- Social Cognitive Theory --- Cognitive Theories, Social --- Cognitive Theory, Social --- Social Cognitive Theories --- Theories, Social Cognitive --- Theory, Social Cognitive
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This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges. The tools have become only more important in the unforeseen emergencies such as the COVID-19 pandemic and the conflict in Ukraine. This comprehensive book is an invaluable resource for graduate students seeking practical knowledge on probability and statistics in real-world applications. The book is divided into four parts: reliability, computer science, management science, and operations research. Each part includes surveys, recent results, and tools used. Moreover, it offers an essential reference point for researchers, engineers, and managers operating in laboratories, industries, businesses, and government agencies. Through the exchange of academic achievements, ideas, and discussions, this book serves as a catalyst for progress and innovation.
Statistics. --- Operations research. --- Management science. --- Industrial engineering. --- Production engineering. --- Production management. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Operations Research and Decision Theory. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Operations Research, Management Science. --- Industrial and Production Engineering. --- Production. --- Probability learning.
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