Nonmonotonic Logics Basic Concepts, Results, and Techniques /
Schlechta, Karl.
Nonmonotonic Logics Basic Concepts, Results, and Techniques / [electronic resource] : by Karl Schlechta. - 1st ed. 1997. - IX, 246 p. online resource. - Lecture Notes in Artificial Intelligence, 1187 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 1187 .
Preferential structures and related logics -- Defaults as generalized quantifiers -- Logic and analysis -- Theory revision and probability -- Structured reasoning.
Nonmonotonic logics were created as an abstraction of some types of common sense reasoning, analogous to the way classical logic serves to formalize ideal reasoning about mathematical objects. These logics are nonmonotonic in the sense that enlarging the set of axioms does not necessarily imply an enlargement of the set of formulas deducible from these axioms. Such situations arise naturally, for example, in the use of information of different degrees of reliability. This book emphasizes basic concepts by outlining connections between different formalisms of nonmonotonic logic, and gives a coherent presentation of recent research results and reasoning techniques. It provides a self-contained state-of-the-art survey of the area addressing researchers in AI lo.
9783540497363
10.1007/BFb0021104 doi
Artificial intelligence.
Machine theory.
Artificial Intelligence.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3
Nonmonotonic Logics Basic Concepts, Results, and Techniques / [electronic resource] : by Karl Schlechta. - 1st ed. 1997. - IX, 246 p. online resource. - Lecture Notes in Artificial Intelligence, 1187 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 1187 .
Preferential structures and related logics -- Defaults as generalized quantifiers -- Logic and analysis -- Theory revision and probability -- Structured reasoning.
Nonmonotonic logics were created as an abstraction of some types of common sense reasoning, analogous to the way classical logic serves to formalize ideal reasoning about mathematical objects. These logics are nonmonotonic in the sense that enlarging the set of axioms does not necessarily imply an enlargement of the set of formulas deducible from these axioms. Such situations arise naturally, for example, in the use of information of different degrees of reliability. This book emphasizes basic concepts by outlining connections between different formalisms of nonmonotonic logic, and gives a coherent presentation of recent research results and reasoning techniques. It provides a self-contained state-of-the-art survey of the area addressing researchers in AI lo.
9783540497363
10.1007/BFb0021104 doi
Artificial intelligence.
Machine theory.
Artificial Intelligence.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3