Search Results for author: Quratul-ain Mahesar

Found 4 papers, 0 papers with code

An Extension-based Approach for Computing and Verifying Preferences in Abstract Argumentation

no code implementations26 Mar 2024 Quratul-ain Mahesar, Nir Oren, Wamberto W. Vasconcelos

Our research considers the inverse of the standard reasoning problem, i. e., given an abstract argumentation framework and a set of justified arguments, we compute what the possible preferences over arguments are.

Abstract Argumentation

Argument Schemes and Dialogue for Explainable Planning

no code implementations7 Jan 2021 Quratul-ain Mahesar, Simon Parsons

Artificial Intelligence (AI) is being increasingly deployed in practical applications.

Argument Schemes for Explainable Planning

no code implementations12 May 2020 Quratul-ain Mahesar, Simon Parsons

In order to establish trust in AI systems, there is a need for the user to understand the reasoning behind their solutions and therefore, the system should be able to explain and justify its output.

Preference Elicitation in Assumption-Based Argumentation

no code implementations12 May 2020 Quratul-ain Mahesar, Nir Oren, Wamberto W. Vasconcelos

Various structured argumentation frameworks utilize preferences as part of their standard inference procedure to enable reasoning with preferences.

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