Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation

Authors: Anthony Hunter, Kawsar Noor2846-2853

AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we consider how we can construct this probability distribution from data. We provide a language for data based on perspectives (opinions) on the structure of the graph, and we introduce a framework (based on general properties and some specific proposals) for aggregating these perspectives, and as a result obtaining a probability distribution that best reflects these perspectives.
Researcher Affiliation Academia Anthony Hunter, Kawsar Noor Department of Computer Science University College London Gower Street, London, WC1E 6BT, UK {anthony.hunter, kawsar.noor.15}@ucl.ac.uk
Pseudocode No The paper does not contain any pseudocode or clearly labeled algorithm blocks.
Open Source Code No The paper does not provide any links to or statements about open-source code for the described methodology.
Open Datasets No The paper uses illustrative examples with abstract graphs (Figure 1, Figure 2, Table 1) and does not use or provide access information for any publicly available datasets for training. It mentions empirical evaluations using datasets are 'future work'.
Dataset Splits No The paper is theoretical and does not conduct experiments with real data, therefore no validation dataset splits are mentioned.
Hardware Specification No The paper is theoretical and does not report on experiments, thus no hardware specifications are provided.
Software Dependencies No The paper is theoretical and does not report on experiments, thus no software dependencies with version numbers are provided.
Experiment Setup No The paper is theoretical and does not report on experiments, thus no specific experimental setup details like hyperparameters are provided.