Probabilistic Sufficient Explanations
IJCAI'21, 2021. [All Versions]. Understanding the behavior of learned classifiers is an important task, and various black-box explanations, logical reasoning approaches, and model-specific methods have been proposed. This paper introduces probabilistic sufficient explanations…
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
Best, second-best, and good-enough explanations: How they matter to reasoning psycnet.apa.org
Journal of Experimental Psychology, 2018. [All Versions]. There is a wealth of evidence that people’s reasoning is influenced by explanatory considerations. Three experiments investigate the descriptive adequacy of a precise proposal to be found in the philosophical literature…
-
Probabilistic alternatives to Bayesianism: the case of explanationism frontiersin.org
Frontiers in Psychology, 2015. [All Versions]. A non-Bayesian account of Abduction.
-
Abduction-Based Explanations for Machine Learning Models ojs.aaai.org
AAAI'19, 2019. [All Versions]. The growing range of applications of Machine Learning (ML) in a multitude of settings motivates the ability of computing small explanations for predictions made. Small explanations are generally accepted as easier for human decision makers to…
-
Beneficial and harmful explanatory machine learning link.springer.com
Machine Learning, 2021. [All Versions]. Given the recent successes of Deep Learning in AI there has been increased interest in the role and need for explanations in machine learned theories. A distinct notion in this context is that of Michie’s definition of ultra-strong…
-
A tale of two explanations: Enhancing human trust by explaining robot behavior science.org
Science Robotics, 2019. [All Versions]. [Preprint]. The ability to provide comprehensive explanations of chosen actions is a hallmark of intelligence. Lack of this ability impedes the general acceptance of AI and robot systems in critical tasks. This paper examines what forms…
-
The structure and function of explanations cognition.princeton.edu
Trends in Cognitive Sciences, 2006. [All Versions]. Generating and evaluating explanations is spontaneous, ubiquitous and fundamental to our sense of understanding. Recent evidence suggests that in the course of an individual's reasoning, engaging in explanation can have…
AGI & CoCoSci › Papers > Abduction > Applications in AI: “IJCAI'21, 2021. [All Versions]. Understanding the behavior of learned classifiers is an important task, and various black-box explanations, logical reasoning approaches, and model-specific methods have been proposed. This paper introduces probabilistic sufficient explanations…”