02712nam a22005175i 4500
978-3-540-49736-3
DE-He213
20170515111447.0
cr nn 008mamaa
121227s1997 gw | s |||| 0|eng d
9783540497363
978-3-540-49736-3
10.1007/BFb0021104
doi
Q334-342
TJ210.2-211.495
UYQ
bicssc
TJFM1
bicssc
COM004000
bisacsh
006.3
23
Nonmonotonic Logics
[electronic resource] :
Basic Concepts, Results, and Techniques /
edited by Karl Schlechta.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
1997.
IX, 246 p.
online resource.
text
txt
rdacontent
computer
c
rdamedia
online resource
cr
rdacarrier
text file
PDF
rda
Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
0302-9743 ;
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.
Computer science.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Schlechta, Karl.
editor.
SpringerLink (Online service)
Springer eBooks
Printed edition:
9783540624820
Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
0302-9743 ;
1187
http://dx.doi.org/10.1007/BFb0021104
ZDB-2-SCS
ZDB-2-LNC
ZDB-2-BAE
ddc
EB
Computer Science (Springer-11645)
14267
14267