Formal Descriptions of Developing Systems
J. B. Nation (ed.)
Kluwer Academic Publishers (2003)
| Abstract | A cutting-edge survey of formal methods directed specifically at dealing with the deep mathematical problems engendered by the study of developing systems, in particular dealing with developing phase spaces, changing components, structures and functionalities, and the problem of emergence. Several papers deal with the modelling of particular experimental situations in population biology, economics and plant and muscle developments in addition to purely theoretical approaches. Novel approaches include differential inclusions and viability theory, growth tensors, archetypal dynamics, ensembles with variable structures, and complex system models. The papers represent the work of theoreticians and experimental biologists, psychologists and economists. The areas covered embrace complex systems, the development of artificial life, mathematics, computer science, biology and psychology. | |||||||||
| Keywords | Science Methodology Science Forecasting | |||||||||
| Categories | No categories specified (fix it) | |||||||||
| Buy the book | $219.00 direct from Amazon Amazon page | |||||||||
| Call number | Q174.N373 2002 | |||||||||
| ISBN(s) | 1402015674 9781402015670 | |||||||||
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Dov M. Gabbay & Maarten de Rijke (eds.) (2000). Frontiers of Combining Systems. Research Studies Press.
Not By Me (1992). Mathematics in the Biological Sciences. International Studies in the Philosophy of Science 6 (3):241 – 248.
Eric-Jan Wagenmakers, Han L. J. van der Maas & Simon Farrell (2012). Abstract Concepts Require Concrete Models: Why Cognitive Scientists Have Not Yet Embraced Nonlinearly Coupled, Dynamical, Self-Organized Critical, Synergistic, Scale-Free, Exquisitely Context-Sensitive, Interaction-Dominant, Multifractal, Interdependent Brain-Body-Niche Systems. Topics in Cognitive Science 4 (1):87-93.
R. Badii (1997). Complexity: Hierarchical Structures and Scaling in Physics. Cambridge University Press.
Richard M. Burian (1997). Comments on Complexity and Experimentation in Biology. Philosophy of Science 64 (4):291.
Ota Sulc (1977). Methodology of Forecasting Complex Development Processes of the Scientific and Technological Revolution. Centre for the Study of Science, Technology, and Develop[Ment], Council of Scientific and Industrial Research.
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