Graphical Representation of Assumption-Based Argumentation
Authors: Claudia Schulz
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Here, we show how an ABA framework and its complete semantics can be displayed in a graph, clarifying the structure of the ABA framework as well as the resulting complete assumption labellings. Furthermore, we show that such an ABA graph can be used to represent the structure and semantics of a logic program (LP), based on the correspondence between the semantics of a LP and an ABA framework encoding this LP. |
| Researcher Affiliation | Academia | Claudia Schulz claudia.schulz@imperial.ac.uk Department of Computing Imperial College London London SW7 2AZ, UK |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper does not mention any datasets or training processes, as it is a theoretical work. |
| Dataset Splits | No | The paper does not provide specific dataset split information for validation, as it is a theoretical work and does not involve empirical data splitting. |
| Hardware Specification | No | The paper does not provide specific hardware details, as it is a theoretical work without empirical experiments requiring hardware specification. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers, as it is a theoretical work and does not detail implementation-level dependencies. |
| Experiment Setup | No | The paper does not contain specific experimental setup details, hyperparameters, or training configurations, as it is a theoretical work. |