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Found 9 papers, 0 papers with code
Experience and Prediction: A Metric of Hardness for a Novel Litmus Test
In this regard, the development of new techniques has made possible the usage of Winograd schemas in various fields, such as the design of novel forms of CAPTCHAs.
Computational Argumentation and Cognition
This paper examines the interdisciplinary research question of how to integrate Computational Argumentation, as studied in AI, with Cognition, as can be found in Cognitive Science, Linguistics, and Philosophy.
Explainability and the Fourth AI Revolution
This chapter discusses AI from the prism of an automated process for the organization of data, and exemplifies the role that explainability has to play in moving from the current generation of AI systems to the next one, where the role of humans is lifted from that of data annotators working for the AI systems to that of collaborators working with the AI systems.
Abduction and Argumentation for Explainable Machine Learning: A Position Survey
This paper presents Abduction and Argumentation as two principled forms for reasoning, and fleshes out the fundamental role that they can play within Machine Learning.
Neural-Symbolic Integration: A Compositional Perspective
Despite significant progress in the development of neural-symbolic frameworks, the question of how to integrate a neural and a symbolic system in a \emph{compositional} manner remains open.
Contestable Black Boxes
The right to contest a decision with consequences on individuals or the society is a well-established democratic right.
Web-STAR: A Visual Web-Based IDE for a Story Comprehension System
We present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation.
Web-STAR: Towards a Visual Web-Based IDE for a Story Comprehension System
In this work, we present Web-STAR, an online platform for story understanding built on top of the STAR (STory comprehension through ARgumentation) reasoning engine.
Non-Monotonic Reasoning and Story Comprehension
This paper develops a Reasoning about Actions and Change framework integrated with Default Reasoning, suitable as a Knowledge Representation and Reasoning framework for Story Comprehension.
