Results 111 to 120 of about 1,599 (224)
Alchourrón's Defeasible Conditionals and Defeasible Reasoning
, 1996 this paper will be devoted to showing that Alchourr'on's defeasible conditionals are a cumbersome way to handle defeasibility: these conditionals hide defeasibility's essential procedural aspects, and relegate them to a mere clerical task ...
Fernando Tohme +2 more
core
Representational change is integral to reasoning. [PDF]
Philos Trans A Math Phys Eng Sci, 2023 Bundy A, Li X.
europepmc +1 more source
Infinite ethics and the limits of impartiality
Noûs, Volume 60, Issue 2, Page 433-453, June 2026.Abstract Beneficence—the part of morality concerned with promoting people's well‐being—is widely thought to be both agent‐neutral and impartial: it prescribes a common aim to all, and does not favor some individuals over others. This paper explores a problem for agent‐neutral, impartial beneficence from the perspective of “individualistic ethics” in ...
Jacob M. Nebel
wiley +1 more source
Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about ...
Ng, Raymond +5 more
core +1 more source
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
doaj +1 more source
Argument-based inductive logics, with coverage of compromised perception. [PDF]
Front Artif Intell, 2023 Bringsjord S +6 more
europepmc +1 more source
Quo Vadis KLM-style Defeasible Reasoning? [PDF]
, 2020 The field of defeasible reasoning has a variety of frameworks, all of which are constructed with the view of codifying the patterns of common-sense reasoning inherent to human reasoning.
Meyer, Thomas, Kaliski, Adam
core
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
doaj +1 more source
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
doaj +1 more source
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
doaj