Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Conditional Inference under Disjunctive Rationality
Authors: Richard Booth, Ivan Varzinczak6227-6234
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper, we propose a solution to this question and explore some of its properties. Theorem 1 A defeasible consequence relation | is disjunctive if and only if there is I such that | = | I . Proposition 1 Given KB, (i) the disjunctive closure of KB coincides with its preferential closure | KB P C. (ii) There exists KB such that | KB P C does not satisfy DR. Theorem 2 There is no method satisfying all of Inclusion, D-Rationality, Equivalence, Vacuity, Cautious Monotonicity and Negated Representation Independence. |
| Researcher Affiliation | Academia | Richard Booth1 Ivan Varzinczak2,3,4 1 Cardiff University, United Kingdom 2 CRIL, Univ. Artois & CNRS, France 3 CAIR, Computer Science Division, Stellenbosch University, South Africa 4 ISTI-CNR, Italy |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not mention providing open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not mention the use of datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not provide information about training, validation, or test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not specify any hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup. |