Abstract
A biological immune system comprises components that circulate within the body and defend it from attacks by pathogens. Its artificial counterpart has found applications in a wide spectrum of domains including Robotics. The cells in an immune system can be viewed to be analogous to mobile agents that migrate from one node (organ) to another. Mobility of such agents provides the framework for movement of components within a system. In this paper we describe the modeling of a mobile agent based robotic system that works on the principles of an artificial immune system. The mobile agents form the B-cell equivalents, generating rule-sets (antibodies) that help the robot to overcome a problem (antigen).
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References
Jonker, C., Treur, J.: Agent Oriented modeling of the dynamics of biological organisms. Journal of Applied intelligence 27(1), 1–20 (2007)
de Castro, L.N., Timmis, J.: Artificial Immune Systems: A new Computational Intelligence Approach. Springer, London (2002)
Carvalho, D.R., Freitas.: An Immunological Algorithm for discovering small-disjunct rules in data-mining. In: Proceedings of the Genetic and Evolutionary Computation Conference (2001)
Forrest, S., Hofmeyr, S.A., Somayaji.: Computer Immunology. Communications of the ACM 40(10), 88–96 (1997)
de Castro, L.N., Zuben, F.J.: aiNet: An Artificial Immune Network for Data Analysis. In: Data Mining: A heuristic Approach, ch. 12, pp. 231–259. Idea group Publishing, USA
Patricia, V., de Castro, L.N., et al.: An Immune Learning Classifier Network for Autonomous Navigation. In: Second international conference on Artificial Immune System (2003)
Ishiguro, A., Watanabe, Y., Kondo, T., Shirai, Y., Uchikawa, Y.: A Robot with a Decentralized Consensus-making Mechanism Based on the Immune System. In: Proceedings of ISADS 1997, pp. 231–237 (1997)
Ishiguro, A., Shirai, Y., et al.: Immunoid: An architecture for behavior arbitration based on the immune networks (1996)
Ishiguro, A., Watanabe, Y., Kondo, T., Uchikawa, Y.: Immunoid: A Robot with a Decentralized Behavior Arbitration Mechanisms Based on the Immune System. In: Proceedings of ICARCV 1996, vol. 2, pp. 1600–1605 (1996)
Ishiguro, et al.: Moderationism in the immune system: Gait acquisition of a legged robot using the metadynamics function. In: Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, vol. 4, pp. 3827–3832 (1998)
Ishiguro, A., Ichikawa, S., Uchikawa, Y.: A gait acquisition of a 6-legged robot using immune network. In: Proceedings of the IEEE/RSJ/GI International Conference on Intelligent Robots and Systems, vol. 2, pp. 1034–1041 (1994)
Ishiguro, et al.: Gait coordination of hexapod walking robots using mutual coupled immune networks. In: IEEE International Conference on Evolutionary Computation, vol. 2, pp. 672–677 (1995)
Lee Dong, W., Sim, K.: Artificial Immune network-based cooperative control in collective autonomous mobile robots. In: 6th IEEE International Workshop on Robot and Human Communication (1997)
Hart, E., Ross, P., Webb, A., et al.: A role for immunology in “Next Generation” robot controllers. In: Second international conference on Artificial Immune System (2003)
Henry, L., Wong, V.: Immunologic control framework for automated material handling. In: Second international conference on Artificial Immune System (2003)
Sung-Oog, S., Jug-Ooo, L., Kwon, B.D.: A mobile agent based multi-robot design method for high-assurance. In: 10th IEEE High Assurance Systems Engineering Symposium, pp. 389-390 (2007)
David, C., Harrison, C., Kirshenbaum, A.: Mobile agents: Are they a good idea? In: Second International Workshop on Mobile Object Systems - Towards the Programmable Internet (1996)
Cragg, L., Hu, H.: Application of Mobile agents to robust teleoperation of internet robots in nuclear decommissioning. In: IEEE conference on Industrial technology (2003)
Cragg, L., Hu, H.: A multi-agent system for distributed control of networked mobile robots (December 2005)
Cragg, L., Hu, H.: Mobile Agent approach to networked robots. The International Journal of Advanced Manufacturing Technology 30(9-10), 979–987 (2006)
The new genetics. U.S Dept of Health and Human Services. National Institute of General Medical Sciences
Hightower, R., Forrest, S., Perelson, A.S.: The evolution of emergent organization in immune system gene libraries. In: Proceedings of Sixth International Conference on Genetic Algorithms, pp. 344-350 (1995)
Liu, J., Wu, J.: Multi-agent robotic systems, 1st edn. CRC press, Boca Raton (2001)
Nair, S.B., Toppo, N.: A Framework for Sharing Intelligence among Mobile Robots on a Network. In: Proceedings of the 2nd IASTED International Multi-Conference on Automation, Control and Information Technology, pp. 93-98 (2005)
Jerne, N.K.: The generative grammar of the Immune system. Bioscience Reports 5, 439–451 (1985)
Nair, S.B., Pradeep, K.V.D., Saravanan, M.: A Communication Protocol for a Mobile Adhoc Network of Robots. In: The International Conference on Emerging Applications of IT (2006)
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Godfrey, W.W., Nair, S.B. (2008). An Immune System Based Multi-robot Mobile Agent Network. In: Bentley, P.J., Lee, D., Jung, S. (eds) Artificial Immune Systems. ICARIS 2008. Lecture Notes in Computer Science, vol 5132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85072-4_37
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DOI: https://doi.org/10.1007/978-3-540-85072-4_37
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