Design of Logic–based Intelligent Systems developsprinciples and methods for constructing intelligent systems forcomplex tasks that are readily done by humans but are difficult formachines. Current Artificial Intelligence (AI) approaches rely onvarious constructs and methods (production rules, neural nets,support vector machines, fuzzy logic, Bayesian networks, etc.). Incontrast, this book uses an extension of propositional logic thattreats all aspects of intelligent systems in a unified andmathematically compatible manner.

Topics include:

Levels of thinking and logic
Special cases: expert systems and intelligent agents
Formulating and solving logic systems
Reasoning under uncertainty
Learning logic formulas from data
Nonmonotonic and incomplete reasoning
Question–and–answer processes
Intelligent systems that construct intelligent systems

Design of Logic–based Intelligent Systems is both ahandbook for the AI practitioner and a textbook for advancedundergraduate and graduate courses on intelligent systems. Includedare more than forty algorithms, and numerous examples andexercises. The purchaser of the book may obtain an accompanyingsoftware package (Leibniz System) free of charge via the internetat leibnizsystem.com.

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Articles li�s � Design of Logic-based Intelligent Systems

Design of Logic-based Intelligent Systems

Truemper, Klaus

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