IMMUNE STRATEGY: ENHANCING SOCCER ROBOTS WITH ARTIFICIAL IMMUNE NETWORK-BASED ACTION SELECTION MECHANISM

Authors

  • Wang chug li Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, Tamsui, Taiwan, China

Keywords:

Soccer Robots, Artificial Immune Networks, Action Selection Mechanism

Abstract

This paper introduces a novel approach for enhancing the performance of soccer robots through the implementation of an artificial immune network-based action selection mechanism. Inspired by the principles of the human immune system, the proposed mechanism leverages artificial immune networks to facilitate intelligent decision-making in dynamic soccer environments. By modeling the interaction between robots and their surroundings as an immune response process, the system adapts its actions based on perceived stimuli and previous experiences. Through simulations and experimental validation, we demonstrate the effectiveness of the proposed approach in improving the decision-making capabilities and overall performance of soccer robots in competitive scenarios.

Downloads

Download data is not yet available.

References

Sethi, I. K., “Entropy Nets: From Decision Trees to Neural Networks,” P. IEEE, pp.16051613 (1990).

Liang, C.-C., “Development of A Multiple-SoccerRobot System,” Ph.D. Dissertation, Department of Mechanical Engineering, National Taiwan University, Taiwan (2000).

Liu, C.-H., “Tactic Design and Formation Control for 5-on-5 Soccer Robot Systems,” (in Chinese) Master Thesis, Department of Mechanical and Electrical Engineering, Tamkang University, Taiwan (2003).

Tsou, T.-Y., Liu, C.-H. and Wang, Y.-T., “Team Formation Control for Soccer Robot Systems,” Proc. IEEE International Conference on Networking, Sensing, and Control (2004).

Roitt, I., Brostoff, J. and Male, D., Immunology, Mosby International Ltd (1998).

Jerne, N. K., “The Immune System,” Sci. Am., Vol. 229, pp. 5260 (1973).

Farmer, J. D., Packard, N. H. and Perelson, A. S., “The Immune System, Adaptation, and Machine Learning,” Physica D, Vol. 22, pp. 187204 (1986).

Sanchis, A., Isasi, P., Molina, J. M. and Segovia, J., “Applying Classifier Systems to Learn the Reactions in Mobile Robots,” Int. J. Syst. Sci., Vol. 32, pp. 237258 (2001).

de Castro, L. N. and Von Zuben, F. J., “Learning and Optimization Using the Clonal Selection Principle,” IEEE T. Evolut. Comput., Vol. 6, pp. 239251 (2002).

Luh, G.-C. and Cheng, W.-C., “Behavior-Based Intelligent Mobile Robot using An Immunized Reinforcement Adaptive Learning Mechanism,” Adv. Eng. Inform., Vol. 16, pp. 8598 (2002).

Downloads

Published

2013-06-01

How to Cite

Wang chug li. (2013). IMMUNE STRATEGY: ENHANCING SOCCER ROBOTS WITH ARTIFICIAL IMMUNE NETWORK-BASED ACTION SELECTION MECHANISM. Journal of Applied Science and Social Science, 3(02), 01–07. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/92

Issue

Vol. 3 No. 02 (2013): Volume 03 Issue 02

Section

Articles

License

Copyright (c) 2013 Wang chug li

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.