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Modeling and Engineering Adaptive Complex Systems
Maciaszek, L.A.
This paper describes a strategy for modeling and
engineering complex e-business systems with built-in
quality of adaptiveness. The paper explains the
philosophical and scientific foundations for research
findings and for the proposed strategy. After ascertaining
that complexity relates to the fact that higher levels of
organization manifest features not predictable from the
lower ones, the paper uses a holonic approach to science
that reconciles reductionism and holism. The strategy is
centered on a six-layer meta-architecture (called
PCBMER and described comprehensively elsewhere).
The meta-architecture facilitates development of adaptive
systems such that property of emergence is controlled and
supplanted by the property of resultance. |
Cite as: Maciaszek, L.A. (2007). Modeling and Engineering Adaptive Complex Systems. In Proc. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling - ER 2007 Auckland, New Zealand. CRPIT, 83. Grundy, J., Hartmann, S., Laender, A. H. F., Maciaszek, L. and Roddick, J. F., Eds. ACS. 31-38. |
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