{"product_id":"a-logical-theory-of-causality-isbn-9780262045322","title":"A Logical Theory of Causality","description":"\u003cb\u003eA general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn this book, Alexander Bochman presents a general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference, basing it on a supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or knowledge. Bochman also explores the relationship of this theory with the popular structural equation approach to causality proposed by Judea Pearl and explores several applications ranging from artificial intelligence to legal theory, including abduction, counterfactuals, actual and proximate causality, dynamic causal models, and reasoning about action and change in artificial intelligence.\u003cbr\u003e            As logical preparation, before introducing causal concepts, Bochman describes an alternative, situation-based semantics for classical logic that provides a better understanding of what can be captured by purely logical means. He then presents another prerequisite, outlining those parts of a general theory of nonmonotonic reasoning that are relevant to his own theory. These two components provide a logical background for the main, two-tier formalism of the causal calculus that serves as the formal basis of his theory. He presents the main causal formalism of the book as a natural generalization of classical logic that allows for causal reasoning. This provides a formal background for subsequent chapters. Finally, Bochman presents a generalization of causal reasoning to dynamic domains.\u003cbr\u003e Preface xi\u003cbr\u003eI LOGICAL PROLEGOMENA\u003cbr\u003e1 A Two-Tier System of Causal Reasoning \u003cbr\u003e2 Mereological Semantics for Classical Logic\u003cbr\u003e3 Assumption-Based Nonmonotonic Reasoning\u003cbr\u003eII THE BASICS\u003cbr\u003e4 Causal Calculus\u003cbr\u003e5 Structural Equation Models\u003cbr\u003e6 Indeterminate Causation\u003cbr\u003eIII EXPLANATORY CAUSAL REASONING\u003cbr\u003e7 Abduction \u003cbr\u003e8 Actual Causality\u003cbr\u003e9 Relative Causality\u003cbr\u003eIV DYNAMIC CAUSAL REASONING\u003cbr\u003e10 Causal Dynamic Formalisms\u003cbr\u003e11 Dynamic Markov Assumption\u003cbr\u003e12 Dynamic Causal Calculus\u003cbr\u003eBibliography\u003cbr\u003eIndex“Bochman applies ideas of logic-based artificial intelligence to the study of causation. This monograph is an excellent, self-contained description of his valuable research.”\u003cbr\u003e—\u003cb\u003eVladimir Lifschitz, Gottesman Family Centennial Professor in Computer Sciences, University of Texas at Austin\u003c\/b\u003eAlexander Bochman is Associate Professor in the Computer Science Department at Holon Institute of Technology in Holon, Israel.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46301880418533,"sku":"NP9780262045322","price":55.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262045322.jpg?v=1767720613","url":"https:\/\/k12savings.com\/es\/products\/a-logical-theory-of-causality-isbn-9780262045322","provider":"K12savings","version":"1.0","type":"link"}