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..
A Fully Rational Account of Structured Argumentation Under Resource Bounds
Authors: Marcello D'Agostino, Sanjay Modgil
IJCAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper we present a new version of ASPIC+ Dialectial ASPIC+ that is fully rational under resource bounds. This paper is the first to provide a formalisation of ASPIC+ Dialectical ASPIC+ (D-ASPIC+) that is fully rational under resource bounds: consistency, closure and non-contamination are satisfied, while making only minimal (i.e., relatively undemanding) assumptions as to the resources available for constructing arguments. |
| Researcher Affiliation | Academia | 1University of Milan 2Kings s College London |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | This is a theoretical paper that does not use or reference any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental data, therefore no training/validation/test dataset splits are described. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware specifications used for running experiments. |
| Software Dependencies | No | The paper does not list any specific software dependencies with version numbers. |
| Experiment Setup | No | As a theoretical paper, it does not include details on experimental setup such as hyperparameters or training configurations. |