Design of Logic-based Intelligent Systems

Design of Logic-based Intelligent Systems

4.11 - 1251 ratings - Source

Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically 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 a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at V wornseals] - repair-engine [clogged-filter V clogged-radiator] - agt; replace - auxiliarg Let S be a CNF system that is equivalent to the CNF system defined by ( 5.7.6) and (5.7.8). We use that system next. Suppose the car owner complains thatanbsp;...

Title:Design of Logic-based Intelligent Systems
Author:K. Truemper
Publisher:John Wiley & Sons - 2004-05-20


You Must CONTINUE and create a free account to access unlimited downloads & streaming