01955nmm a2200301 u 4500001001200000003002700012005001700039007002400056008004100080020001800121100002000139245010900159250001700268260006300285300003100348505016700379653004400546653002300590653002800613653002800641710003400669041001900703989003800722490004500760856006500805082001000870520077300880EB000659194EBX0100000000000000051227600000000000000.0cr|||||||||||||||||||||140122 ||| eng a97835404973631 aSchlechta, Karl00aNonmonotonic LogicshElektronische RessourcebBasic Concepts, Results, and Techniquescby Karl Schlechta a1st ed. 1997 aBerlin, HeidelbergbSpringer Berlin Heidelbergc1997, 1997 aIX, 246 pbonline resource0 aPreferential structures and related logics -- Defaults as generalized quantifiers -- Logic and analysis -- Theory revision and probability -- Structured reasoning aMathematical Logic and Formal Languages aMathematical logic aArtificial Intelligence aArtificial intelligence2 aSpringerLink (Online service)07aeng2ISO 639-2 bSBAaSpringer Book Archives -20040 aLecture Notes in Artificial Intelligence uhttps://doi.org/10.1007/BFb0021104?nosfx=yxVerlag3Volltext0 a006.3 aNonmonotonic 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