| 000 | 03241nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-44600-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240423132548.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 121227s2001 gw | s |||| 0|eng d | ||
| 020 |
_a9783540446002 _9978-3-540-44600-2 |
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| 024 | 7 |
_a10.1007/3-540-44600-1 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aKern-Isberner, Gabriele. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aConditionals in Nonmonotonic Reasoning and Belief Revision _h[electronic resource] : _bConsidering Conditionals as Agents / _cby Gabriele Kern-Isberner. |
| 250 | _a1st ed. 2001. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2001. |
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| 300 |
_aX, 194 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2087 |
|
| 505 | 0 | _aBelief Revision and Nonmonotonic Reasoning — State of the Art -- Conditionals -- Revising Epistemic States by Conditional Beliefs -- Characterizing the Principle of Minimum Cross-Entropy -- Reasoning at Optimum Entropy -- Belief Revision and Nonmonotonic Reasoning — Revisited -- Knowledge Discovery by Following Conditional Structures -- Algorithms and Implementations -- Conclusion. | |
| 520 | _aConditionals are omnipresent, in everyday life as well as in scientific environments; they represent generic knowledge acquired inductively or learned from books. They tie a flexible and highly interrelated network of connections along which reasoning is possible and which can be applied to different situations. Therefore, conditionals are important, but also quite problematic objects in knowledge representation. This book presents a new approach to conditionals which captures their dynamic, non-proportional nature particularly well by considering conditionals as agents shifting possible worlds in order to establish relationships and beliefs. This understanding of conditionals yields a rich theory which makes complex interactions between conditionals transparent and operational. Moreover,it provides a unifying and enhanced framework for knowledge representation, nonmonotonic reasoning, belief revision,and even for knowledge discovery. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aMachine theory. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aFormal Languages and Automata Theory. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540423676 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662188569 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2087 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-44600-1 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 912 | _aZDB-2-BAE | ||
| 942 | _cSPRINGER | ||
| 999 |
_c189153 _d189153 |
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