Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

Discussion on the Strategy of Exploiting Weaknesses to Overcome Strengths in a Multi-Agent System

Authors
You Li1, *
1Department of Mathematics, University of Connecticut, Connecticut, CT, 06269, USA
*Corresponding author. Email: you.li@uconn.edu
Corresponding Author
You Li
Available Online 27 November 2023.
DOI
10.2991/978-94-6463-300-9_39How to use a DOI?
Keywords
Multi-Agent Systems; Power Asymmetry; Survival Strategies; Strength Reversal
Abstract

In the realm of present multi-agent research, the presumption is often that two competing groups possess equivalent strength. This article, however, ventures into unexplored territory by contemplating the strategy a significantly weaker group should adopt in its struggle for survival when faced with a more powerful adversary. Furthermore, it ponders how this underpowered group could potentially subvert the prevailing power dynamics and achieve either partial or total victory. This exploration challenges the conventional assumptions held in the domain of multi-agent systems, urging a reconsideration of strategies when power asymmetry is in play. The focus isn’t merely on survival tactics for the weaker entity, but also on understanding how such an entity can strategically leverage its weakness to turn the tables, shifting the balance of power in its favor. The underlying premise is that a significant disparity in power does not inevitably lead to the defeat of the weaker group. Instead, with strategic planning and execution, a weaker group could exploit the strengths and weaknesses of the stronger group, offering novel insights for multi-agent strategies. Through this investigation, the study seeks to provide a comprehensive framework for survival and success in unequal power dynamics within multi-agent systems. It aims to stimulate further research in this critical yet underexplored area, encouraging the development of more nuanced and realistic models that account for power disparities and the potential for their reversal.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
Series
Advances in Computer Science Research
Publication Date
27 November 2023
ISBN
10.2991/978-94-6463-300-9_39
ISSN
2352-538X
DOI
10.2991/978-94-6463-300-9_39How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - You Li
PY  - 2023
DA  - 2023/11/27
TI  - Discussion on the Strategy of Exploiting Weaknesses to Overcome Strengths in a Multi-Agent System
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 383
EP  - 388
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_39
DO  - 10.2991/978-94-6463-300-9_39
ID  - Li2023
ER  -