Towards Systems that Dynamically Change and Evaluate Abstractions
Document Type
Conference Proceeding
Publication Date
7-12-2024
Abstract
Abstraction levels can be explicitly studied, changed and analyzed with metrics on their impact for a given problem. Also different methods for analyzing abstraction levels and their metrics can lead to different conclusions. Hence researchers usually iteratively experiment with these different methods to find the right abstraction level and metric for specific problems. To illustrate these points, we first study the use of Quad-Trees to characterize swarms, and then compare different methods using the metrics efficacy and efficiency. The goal of this work is to create an architecture and processes that will enable a self-aware system to conduct these types of experiments, and use these methods and metrics for analyzing the appropriateness and the impact of abstraction levels in order to improve its own performance.
DOI
Source Publication
Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023
Recommended Citation
Diaconescu, A., King, D. W., Bellman, K., Landauer, C., & Nelson, P. (2024). Towards systems that dynamically change and evaluate abstractions. In: Kenneth Baclawski, Michael Kozak, Kirstie Bellman, Giuseppe D'Aniello, Alicia Ruvinsky and Candida Da Silva Ferreira Barreto (editors). Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023, (EPIC Series in Computing, vol 102), pages 154-162. https://doi.org/10.29007/qtpl
Comments
The "Link to Full Text" on this page opens the complete PDF version of the conference paper at the host site. (Open access as of November 2024).
The proceeding is also known as CogSIMA 2023.