Summary
Here we provide an analytic, microscopic analysis of rare and extreme events in an adaptive population comprising competing agents (e.g. species, cells, traders, data packets). Such large changes represent a form of chance discovery and tend to dictate the long-term dynamical behavior of many real-world systems in both the natural and social sciences. Our results reveal a taxonomy of these infrequent yet extreme events, and provide a microscopic understanding as to their build-up and likely duration.
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© 2003 Springer-Verlag Berlin Heidelberg
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Jefferies, P., Lamper, D., Johnson, N.F. (2003). Anatomy of Rare Events in a Complex Adaptive System. In: Ohsawa, Y., McBurney, P. (eds) Chance Discovery. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06230-2_5
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DOI: https://doi.org/10.1007/978-3-662-06230-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05609-3
Online ISBN: 978-3-662-06230-2
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