Results 101 to 110 of about 13,242 (209)
SystemsThis research investigates the potential of computational argumentation, specifically the application of the Abstract Argumentation Framework (AAF), to enhance the evaluation of deliberative quality in public discourse.
Sanjay Kumar, Jane Suiter, Luca Longo
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SAsSy - Making Decisions Transparent with Argumentation and Natural Language Generation [PDF]
, 2014 Peer reviewedPublisher ...
Kutlak, Roman, Tintarev, Nava
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Defeasible Reasoning with Quantifiers [PDF]
, 2015 Human conditional reasoning is defeasible: people withdraw logically valid conclusions if they are aware of situations (i.e., exceptions) that prevent the consequent of the rule to happen although the antecedent is given. In this paper we investigate defeasible reasoning with quantified rules.
Castaneda, Lupita Estefania Gazzo +1 more
openaire
Reasoning about exceptions in ontologies: from the lexicographic closure to the skeptical closure
, 2018 Reasoning about exceptions in ontologies is nowadays one of the challenges the description logics community is facing. The paper describes a preferential approach for dealing with exceptions in Description Logics, based on the rational closure.
Giordano, Laura, Gliozzi, Valentina
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Machine Learning and Knowledge ExtractionExplainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent and ...
Lucas Rizzo +3 more
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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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Computational Argumentation and Automatic Rule-Generation for Explainable Data-Driven Modeling
IEEE AccessThe creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance, and policy making. Rule-based systems are widely regarded as a
Luca Longo +3 more
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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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