Studying Complex Adaptive Systems
| Autor: | John H. Holland |
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| Rok vydání: | 2006 |
| Předmět: |
Credit assignment
business.industry Computer science Complex system Machine learning computer.software_genre Data science ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION Computer Science (miscellaneous) Agent based systems Artificial intelligence business Complex adaptive system computer Information Systems |
| Zdroj: | Journal of Systems Science and Complexity. 19:1-8 |
| ISSN: | 1559-7067 1009-6124 |
| DOI: | 10.1007/s11424-006-0001-z |
| Popis: | Complex adaptive systems (cas) – systems that involve many components that adapt or learn as they interact – are at the heart of important contemporary problems. The study of cas poses unique challenges: Some of our most powerful mathematical tools, particularly methods involving fixed points, attractors, and the like, are of limited help in understanding the development of cas. This paper suggests ways to modify research methods and tools, with an emphasis on the role of computer-based models, to increase our understanding of cas. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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