Abstract
Our understanding of tumor biology and the immune system has expanded greatly in the last decade. This explosion of knowledge can be attributed to advances in molecular biology. Despite these advances, our success in devising effective therapy against cancer has been modest at best. Why hasn’t this new knowledge translated into more effective cancer treatment? This chapter discusses the limitations of applying traditional Aristotelian logic to complex biological systems. Alternative approaches for solving problems in immunology and cancer research, such as “fuzzy logic” are described.
Keywords
- Fuzzy Logic
- Core Promoter
- Complex Biological System
- Logical Argument
- Major Histocompatibility Complex Antigen
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1997 Springer Science+Business Media New York
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Curti, B.D., Longo, D.L. (1997). A Brief History of Immunologic Thinking: Is it Time for Yin and Yang?. In: Adam, J.A., Bellomo, N. (eds) A Survey of Models for Tumor-Immune System Dynamics. Modeling and Simulation in Science, Engineering, & Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-0-8176-8119-7_1
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DOI: https://doi.org/10.1007/978-0-8176-8119-7_1
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6408-8
Online ISBN: 978-0-8176-8119-7
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