David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
J. B. Nation (ed.)
Kluwer Academic Publishers (2003)
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|
No categories specified
(categorize this paper)
|Buy the book||$24.98 used (90% off) $65.05 new (74% off) $249.00 direct from Amazon Amazon page|
|Call number||Q174.N373 2002|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
Jean-Pierre Aubin, Adaptive Evolution of Complex Systems Under Uncertain Environmental Constraints: A Viability Approach.
Jerzy Nakielski & Zygmunt Hejnowicz, The Description of Growth of Plant Organs: A Continuous Approach Based on the Growth Tensor.
Vladimir P. Skulachev, Belozersky Institute of Physico-Chemical Biology and School of Bioengineering and Bioinformatics, Moscow State University.
Vladimir P. Skulachev, Programmed Death Phenomena at Various Levels of Development of the Living Systems.
Beata Zagórska-Marek & Danuta Wiss, Dislocations in the Repetitive Unit Patterns of Biological Systems.
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Dov M. Gabbay & Maarten de Rijke (eds.) (2000). Frontiers of Combining Systems. Research Studies Press.
Edward G. Belaga, Emergence and Evolution of Natural Languages: New Mathematical & Algorithmic Perspectives.
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.
Kevin de Laplante, Certainty and Domain-Independence in the Sciences of Complexity: A Critique of James Franklin's Account of Formal Science.
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.
Added to index2009-01-28
Total downloads5 ( #359,547 of 1,725,422 )
Recent downloads (6 months)1 ( #349,420 of 1,725,422 )
How can I increase my downloads?