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Title:
Inductive Tight Semantics for Logic Programs
Publication date:
July 2010
Citation:
ITSLP
Abstract:
The Gelfond-Lifschitz operator fixed-point requirement by Stable Models induces asymmetry in dealing with Even Loops and Odd Loops Over Negation. We introduce a 2-valued semantics for Normal Logic Programs — the Inductive Tight semantics (ITS) — that generalizes SM semantics by dealing uniformly with Even and Odd loops. ITS conservatively extends the SM semantics, enjoys relevance and cumulativity, guarantees model existence, and respects the Well-Founded Model. The IT semantics relies on Layering, a generalization of Stratification, and is inductively defined on such layering: each model for a given layer must comply with some model for the whole set of layers below. Enjoying Relevance, the IT semantics is suitable top-down querying when complete models are unnecessary. The applications afforded by ITS are all those of Stable Models, which it generalizes, plus those employing OLONs for productively obtaining problem solutions, not just filtering them (like ICs).
In proceedings
Authors:
Luís Moniz Pereira
,
Alexandre Miguel Pinto
Editors:
http://dtai.cs.kuleuven.be/
Book title:
Liber Amicorum in honour of Maurice Bruynooghe
Series:
http://dtai.cs.kuleuven.be/IM60/
Publisher:
K.U.Leuven
Address:
-
Volume:
http://dtai.cs.kuleuven.be/IM60/index.php?CONT=liberamicorum
Pages:
17-31
ISBN:
-
ISSN:
-
Note:
invited paper
Url address:
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/ITMS.pdf
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Plain text:
Luís Moniz Pereira and Alexandre Miguel Pinto, Inductive Tight Semantics for Logic Programs, in: http://dtai.cs.kuleuven.be/ (eds), Liber Amicorum in honour of Maurice Bruynooghe, http://dtai.cs.kuleuven.be/IM60/, K.U.Leuven, Vol. http://dtai.cs.kuleuven.be/IM60/index.php?CONT=liberamicorum, Pag. 17-31, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/ITMS.pdf), invited paper, July 2010.
HTML:
<a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a> and <a href="/people/members/view.php?code=76dee43781430d064f62dee3fbdf47a8" class="author">Alexandre Miguel Pinto</a>, <b>Inductive Tight Semantics for Logic Programs</b>, in: http://dtai.cs.kuleuven.be/ (eds), <u>Liber Amicorum in honour of Maurice Bruynooghe</u>, http://dtai.cs.kuleuven.be/IM60/, K.U.Leuven, Vol. http://dtai.cs.kuleuven.be/IM60/index.php?CONT=liberamicorum, Pag. 17-31, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/ITMS.pdf" target="_blank">url</a>), <i>invited paper</i>, July 2010.
BibTeX:
@inproceedings {ITSLP, author = {Lu\'{\i}s Moniz Pereira and Alexandre Miguel Pinto}, editor = {http://dtai.cs.kuleuven.be/}, title = {Inductive Tight Semantics for Logic Programs}, booktitle = {Liber Amicorum in honour of Maurice Bruynooghe}, series = {http://dtai.cs.kuleuven.be/IM60/}, publisher = {K.U.Leuven}, volume = {http://dtai.cs.kuleuven.be/IM60/index.php?CONT=liberamicorum}, pages = {17-31}, note = {invited paper}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/ITMS.pdf}, abstract = {The Gelfond-Lifschitz operator fixed-point requirement by Stable Models induces asymmetry in dealing with Even Loops and Odd Loops Over Negation. We introduce a 2-valued semantics for Normal Logic Programs — the Inductive Tight semantics (ITS) — that generalizes SM semantics by dealing uniformly with Even and Odd loops. ITS conservatively extends the SM semantics, enjoys relevance and cumulativity, guarantees model existence, and respects the Well-Founded Model. The IT semantics relies on Layering, a generalization of Stratification, and is inductively defined on such layering: each model for a given layer must comply with some model for the whole set of layers below. Enjoying Relevance, the IT semantics is suitable top-down querying when complete models are unnecessary. The applications afforded by ITS are all those of Stable Models, which it generalizes, plus those employing OLONs for productively obtaining problem solutions, not just filtering them (like ICs).}, keywords = {Normal Logic Programs, Relevance, Cumulativity, Stable Models, Well-Founded Semantics, Program Remainder}, month = {July}, year = {2010}, }
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