Transformation of deductive and inductive tasks between models of logic programming with imperfect information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F04%3A00003301" target="_blank" >RIV/00216208:11320/04:00003301 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Transformation of deductive and inductive tasks between models of logic programming with imperfect information
Original language description
We analyze different models of imperfect information. We show a transformation under which fuzzy logic programs and generalized annotated programs (GAP) have the same computed and correct answers and Herbrand models. We show that induction task for GAP can be transformed to multiple use of classical ILP with additional nomonoticity assumption in the background konwledge. We analyze conditions under which GAP can be transformed to Bayesian networks and vice versa.
Czech name
Transformace deduktivních a induktivních úloh mezi modely logického programování s neúplnou informací
Czech description
Článek se zabývá analýzou různých modelů s nepřesnou informací (fuzzy logickými programy, zobecněnými anotovanými programy, bayesovskými sítěmi) a transformacemi mezi jednotlivými modely.
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. IPMU 2004
ISBN
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ISSN
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e-ISSN
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Number of pages
8
Pages from-to
839-846
Publisher name
Editrice Universita La Sapienza, Roma
Place of publication
Perugia
Event location
Perugia
Event date
Jan 1, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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