Memory-based Immune Network for Multi-Robot Cooperation

Razali, Sazalinsyah and Meng, Qinggang and Yang, Shuang-Hua (2009) Memory-based Immune Network for Multi-Robot Cooperation. In: 7th International Simulation Conference, 1-3 June 2009, Loughborough, UK.

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In this paper, basic biological immune systems and their responses to external elements to maintain an organism's health state are fully described. The relationship between immune systems and multi-robot systems are also discussed. Our proposed algorithm is based on immune network theories that have many similarities with the multi-robot systems domain. The paper describes a memory-based immune network that enhance a robot's action-selection process and can obtain an overall a quick group response. The algorithm which is named as Immune Network T-cell-regulated|with Memory (INT-M) is applied to the dog and sheep scenario. Simulation experiments are being conducting on the Player/Stage platform and experimental data are being evaluated.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2009 Eurosis. This paper was originally published in the Proceedings of the 7th International Simulation Conference (ISC 2009)
Uncontrolled Keywords: Multi-robot, Immune Systems, Cooperation, Memory, Simulation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QR Microbiology > QR180 Immunology
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Dr. Sazalinsyah Razali
Date Deposited: 27 Jul 2012 10:51
Last Modified: 28 May 2015 02:17
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