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Argumentation, dialogue theory, and probability modeling: Alternative frameworks for argumentation research in education
Toulmin's model of argumentation, developed in 1958, has guided much argumentation
research in education. However, argumentation theory in philosophy and cognitive science …
research in education. However, argumentation theory in philosophy and cognitive science …
Current approaches to handling imperfect information in data and knowledge bases
This paper surveys methods for representing and reasoning with imperfect information. It
opens with an attempt to classify the different types of imperfection that may pervade data …
opens with an attempt to classify the different types of imperfection that may pervade data …
Uncertainty quantification using evidence theory in multidisciplinary design optimization
H Agarwal, JE Renaud, EL Preston… - Reliability Engineering & …, 2004 - Elsevier
Advances in computational performance have led to the development of large-scale
simulation tools for design. Systems generated using such simulation tools can fail in service …
simulation tools for design. Systems generated using such simulation tools can fail in service …
A probabilistic approach to modelling uncertain logical arguments
Argumentation can be modelled at an abstract level using a directed graph where each
node denotes an argument and each arc denotes an attack by one argument on another …
node denotes an argument and each arc denotes an attack by one argument on another …
Representations of uncertainty in artificial intelligence: Probability and possibility
Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments
This paper develops a fuzzy constraint based model for bilateral multi-issue negotiation in
trading environments. In particular, we are concerned with the principled negotiation …
trading environments. In particular, we are concerned with the principled negotiation …
Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP)
Analytic hierarchy process (AHP) is a utility theory based decision-making technique, which
works on a premise that the decision-making of complex problems can be handled by …
works on a premise that the decision-making of complex problems can be handled by …
Ground truthing from multi-rater labeling with three-way decision and possibility theory
Abstract In recent years, Machine Learning (ML) has attracted wide interest as aid for
decision makers in complex domains, such as medicine. Although domain experts are …
decision makers in complex domains, such as medicine. Although domain experts are …
[ספר][B] Representing uncertain knowledge: an artificial intelligence approach
The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being
addressed in many different ways. Each approach has its proponents, and each has had its …
addressed in many different ways. Each approach has its proponents, and each has had its …
Empowering qualitative research methods in education with artificial intelligence
Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors.
Originally mainly for computer scientists and engineers, it has been expanding its horizons …
Originally mainly for computer scientists and engineers, it has been expanding its horizons …