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Foundations of Probabilistic Logic Programming

thus represent an excellent candidate for the integration. Since its birth, the field of Probabilistic Logic Programming has seen a steady;

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Foundations of Probabilistic Programming

field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that;

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Inductive Logic Programming

This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP;

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Inductive Logic Programming

This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Conference on Inductive Logic;

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Logic Programming

Includes tutorials, lectures, and refereed papers on all aspects of logic programming, The Joint International Conference and Symposium on;

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Logic Programming

Conference on Logic Programming is the main annual conference sponsored by the Association for Logic Programming. It covers the latest research;

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Functional and Constraint Logic Programming

This book constitutes the refereed post-conference proceedings of the 26th International Workshop on Functional and Constraint Logic;

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Logical Foundations of Computer Science

of the Symposium is broad and includes constructive mathematics and type theory; logic, automata and automatic structures; computability and;

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Logical Foundations of Computer Science

Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures;

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Logical Foundations of Computer Science

Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures;

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Logical Foundations of Computer Science

Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures;

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Bayesian Programming

probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications;

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Bayesian Programming

probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications;

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Programming Languages and Systems

, synthesis and transformation; program analysis, verification, and model-checking; logic, constraint, probabilistic and quantum programming; software;

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Logic for Computer Scientists

This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate;

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Foundations of Logic Programming

This is the second edition of an account of the mathematical foundations of logic programming. Its purpose is to collect, in a unified and;

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A Grammatical View of Logic Programming

Within the field of logic programming there have been numerous attempts to transform grammars into logic programs. This book describes a;

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Logics in Artificial Intelligence

argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming;

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Therapeutic Potential of Furin Inhibition

and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models;

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Statistical Relational Artificial Intelligence

and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models;

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Statistical Relational Artificial Intelligence

and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models;

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Statistical Relational Artificial Intelligence

and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models;

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Foundations of Disjunctive Logic Programming

This monograph provides an intensive course for graduate students in computer science, as well as others interested in extensions of logic;

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Practical Probabilistic Programming

the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By;

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Logic Programming and Nonmonotonic Reasoning

This book constitutes the refereed proceedings of the 15th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR;

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Mathematical Logic

This introduction to first-order logic clearly works out the role of first-order logic in the foundations of mathematics, particularly the;

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Mathematical Logic

This introduction to first-order logic clearly works out the role of first-order logic in the foundations of mathematics, particularly the;

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