Results 111 to 120 of about 13,204 (193)
Knowledge Representation Concepts for Automated SLA Management
, 2006 Outsourcing of complex IT infrastructure to IT service providers has increased substantially during the past years. IT service providers must be able to fulfil their service-quality commitments based upon predefined Service Level Agreements (SLAs) with ...
Bichler, Martin, Paschke, Adrian
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A framework for multi-criteria argumentation-based decision making within a BDI agent
Journal of Computer Science and Technology, 2014 The BDI model, as a practical reasoning architecture aims at making decisions about what to do based on cognitives notions as beliefs, desires and intentions.
Marcelo Luis Errecalde +2 more
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Diverging Approaches to Skeptical Inference in Non-monotonic Reasoning
Principia: An International Journal of EpistemologyOur paper addresses the problem of a two-fold approach to skeptical inferences in the context non-monotonic logics. We tackle the problem through the analysis of ambiguous theories, such as the Nixon Diamond, as instantiated in non-monotonic inheritance ...
Jorge Andrés Morales Delgado
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A defeasible logic programming approach to the integration of rules and ontologies
Journal of Computer Science and Technology, 2010 The Semantic Web is a vision of the current Web where resources have exact meaning assigned in terms of ontologies, thus enabling agents to reason about them.
Sergio Alejandro Gómez +2 more
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Legal document assembly system for introducing law students with legal drafting. [PDF]
Artif Intell Law (Dordr), 2022 Marković M, Gostojić S.
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Exploring Defeasibility in Causal Reasoning
Findings of the Association for Computational Linguistics ACL 2024Defeasibility in causal reasoning implies that the causal relationship between cause and effect can be strengthened or weakened. Namely, the causal strength between cause and effect should increase or decrease with the incorporation of strengthening arguments (supporters) or weakening arguments (defeaters), respectively.
Cui, Shaobo +6 more
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The winter, the summer and the summer dream of artificial intelligence in law: Presidential address to the 18th International Conference on Artificial Intelligence and Law. [PDF]
Artif Intell Law (Dordr), 2022 Francesconi E.
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, 1999 This work is involved with the confluence of two areas of artiñcial intelligence (AI) called “defeasible reasoning” and “temporal reasoning”. The work can be briefly described as the extensión of a particular kind of defeasible reasoning systems, called “argumentative systems”, to allow them to use temporal references.
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