thing missing from this book, it is a discussion of the problems in the eld which are not yet known to be polynomial solvable, but which are also not yet known to be NP-complete. Of course this information is due to change over time, and so would become quickly dated. Review of Immunocomputing: Principles and Applications5 2003 Authors: Alexander O. Tarakanov, Victor A. Skormin, Svetlana P. Sokolova Publisher: Springer-Verlag New York, Inc. Reviewer: Wenzhong Zhao Department of Computer Science University of New Mexico wzhao@cs.unm.edu Overview The natural immune system is a complex system with several mechanisms for defense against pathogenic organisms. From the perspective of information-processing, the main purpose of the immune system is to solve recognition and classi cation tasks, and categorize cells or molecules as self or non-self. It learns through evolution to distinguish between foreign antigens (e.g., bacteria, viruses) and the body s own cells or molecules. The introduction argues that the immune system is much better understood than the nervous system. As a highly parallel and distributed adaptive system with memory, recognition, learning, and decision-making capabilities, the biological immune system provides a remarkable informationprocessing model in the computational eld. This emerging eld is sometimes
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Review of Immunocomputing: Principles and Applications by Alexander O. Tarakanov, Victor A. Skormin, Svetlana P. Sokolova, Springer-Verlag New York, Inc. 2003
Zhao, Wenzhong
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Association for Computing Machinery – Dec 1, 2005
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