Memory-based Immune Network for Multi-Robot Cooperation

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...

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Bibliographic Details
Main Authors: Razali, Sazalinsyah, Meng, Qinggang, Yang, Shuang-Hua
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/179/
http://eprints.utem.edu.my/id/eprint/179/1/razali2009-ISC-memory.pdf
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author Razali, Sazalinsyah
Meng, Qinggang
Yang, Shuang-Hua
author_facet Razali, Sazalinsyah
Meng, Qinggang
Yang, Shuang-Hua
author_sort Razali, Sazalinsyah
building UTeM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T19:45:48Z
format Conference or Workshop Item
id utem-179
institution Universiti Teknikal Malaysia Melaka
institution_category Local University
language English
last_indexed 2025-11-15T19:45:48Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling utem-1792015-05-28T02:17:08Z http://eprints.utem.edu.my/id/eprint/179/ Memory-based Immune Network for Multi-Robot Cooperation Razali, Sazalinsyah Meng, Qinggang Yang, Shuang-Hua QA75 Electronic computers. Computer science QR180 Immunology 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. 2009-06 Conference or Workshop Item PeerReviewed application/pdf en cc_by_nc_nd http://eprints.utem.edu.my/id/eprint/179/1/razali2009-ISC-memory.pdf 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. http://www.eurosis.org/cms/?q=node/905
spellingShingle QA75 Electronic computers. Computer science
QR180 Immunology
Razali, Sazalinsyah
Meng, Qinggang
Yang, Shuang-Hua
Memory-based Immune Network for Multi-Robot Cooperation
title Memory-based Immune Network for Multi-Robot Cooperation
title_full Memory-based Immune Network for Multi-Robot Cooperation
title_fullStr Memory-based Immune Network for Multi-Robot Cooperation
title_full_unstemmed Memory-based Immune Network for Multi-Robot Cooperation
title_short Memory-based Immune Network for Multi-Robot Cooperation
title_sort memory-based immune network for multi-robot cooperation
topic QA75 Electronic computers. Computer science
QR180 Immunology
url http://eprints.utem.edu.my/id/eprint/179/
http://eprints.utem.edu.my/id/eprint/179/
http://eprints.utem.edu.my/id/eprint/179/1/razali2009-ISC-memory.pdf