Initial Sets in Abstract Argumentation Frameworks

Autor: Claudette Cayrol, Yuming Xu
Přispěvatelé: Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Shandong University - SDU (CHINA), Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France), Shandong University, Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Paul Sabatier - Toulouse 3 ( UPS ) -Centre National de la Recherche Scientifique ( CNRS ), Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Institut National Polytechnique de Toulouse - INPT (FRANCE)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Logic
Computer science
Semantics (computer science)
media_common.quotation_subject
0102 computer and information sciences
02 engineering and technology
computer.software_genre
01 natural sciences
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]
Argumentation theory
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
0202 electrical engineering
electronic engineering
information engineering

[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL]
[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract argumentation
Skepticism
media_common
Logique en informatique
Initial semantics
business.industry
Programming language
[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]
Informatique et langage
Extension (predicate logic)
Intelligence artificielle
Apprentissage
Philosophy
010201 computation theory & mathematics
020201 artificial intelligence & image processing
[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]
Artificial intelligence
Extension-based semantics
business
computer
AND gate
Zdroj: Proceedings of CLAR 2016
1st Chinese Conference on Logic and Argumentation (CLAR 2016)
1st Chinese Conference on Logic and Argumentation (CLAR 2016), Apr 2016, Hangzou, China. Proceedings of CLAR 2016, 1811, pp. 72-85, 2018
1st Chinese Conference on Logic and Argumentation (CLAR 2016), Apr 2016, Hangzou, China. pp. 72-85
Popis: International audience; Dung’s abstract argumentation provides us with a general framework to deal with argumentation, non-monotonic reasoning and logic programming. For the extension-based semantics, one of the basic principles is I-maximality which is in particular related with the notion of skeptical justification. Another one is directionality which can be employed for the study of dynamics of argumentation. In this paper, we introduce two new extension-based semantics into Dung’s abstract argumentation, called grounded-like semantics and initial semantics which satisfy the I-maximality and directionality principles. The initial semantics has many good properties and can be expected to play a central role in studying other extension-based semantics, such as admissible, complete and preferred semantics.
Databáze: OpenAIRE