Hierarchical dynamical information systems with a focus on biology

Entropy

Volumn 5, Issue 2, 2003, Pages 100-124

  Collier, John ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Entropy; Function; Hierarchy; Information; Meaning

Indexed keywords

CELLS; DATA PROCESSING; DNA; ENTROPY; FORMAL LOGIC; IMMUNOLOGY; PERTURBATION TECHNIQUES; PROTEINS; RNA; SYNTACTICS;

HIERARCHICAL DYNAMICAL INFORMATION SYSTEMS; HIERARCHY; PHYSICAL INFORMATION SYSTEMS;

INFORMATION SCIENCE;

EID: 2442637491     PISSN: 10994300     EISSN: None     Source Type: Journal    
DOI: 10.3390/e5020100     Document Type: Review

References (47)

1. Barwise, J. and J. Echemendy. The Liar, Oxford: Oxford University Press. 1987.
2. Barwise, Jon and Jerry Seligman. Information Flow: The Logic of Distributed Systems. Cambridge: University of Cambridge Press. 1997.
3. Brillouin, L. Science and Information Theory, 2nd edition. New York: Academic Press. 1962, 265-266.
4. nd edition. Chicago: University of Chicago Press. 1988.
5. Brooks, D.R. The nature of the organism: life takes on a life of its own. Proceedings of the New York Academy of Science 2000, 901, 257-265.
6. Brooks, D.R. Evolution in the Information Age: Rediscovering the Nature of the Organism. SEED. 2001. http://www.library.utoronto.ca/see/pages/ SEED%20journal%201ibrary.html.
7. Brooks, D.R. Taking evolutionary transitions seriously. SEED 2002. http://www.library.utoronto.ca/see/pages/SEED%20journal%201ibrary.html.
8. Brooks, D.R. and D.A. McLennan. Biological signals as material phenomena. Rev. pensee d'aujord d'hui 1997, 25, 118-127.
9. Brooks, D.R. and D.A. McLennan. The nature of the organism and the emergence of selection processes and biological signals. In E. Taborsky, ed. Semiosis, Evolution, Energy: Towards a Reconceptualization of the Sign. Aachen Shaker Verlag, Bochum Publications in Semiotics New Series. 1999, 3, 185-218.
10. Chaitin, Gregory J. Algorithmic Information Theory. Cambridge: Cambridge University Press. 1987.
11. Collier, John. Entropy in Evolution. Biology and Philosophy 1986, 1, 5-24.
12. Collier, John. Supervenience and Reduction in Biological Hierarchies. in M. Matthen and B. Linsky (eds) Philosophy and Biology: Canadian Journal of Philosophy Supplementary 1988, 14, 209-234.
13. Collier, John. Intrinsic Information. In Philip P. Hanson (ed) Information, Language and Cognition. Oxford: Oxford University Press, 1990.
14. Collier, John. Information originates in symmetry breaking. Symmetry: Culture & Science 1996, 7, 247-256.
15. Collier, John. Information Increase in Biological Systems: How Does Adaptation Fit?. in Evolutionary Systems, Gertrudis van der Vijver, Stanley N. Salthe and Manuela Delpos (eds) Dordrecht, Kluwer. 1998, 129-140.
16. Collier, John. Autonomy in anticipatory systems: significance for functionality, intentionality and meaning. D. M. Dubois, (ed) Computing Anticipatory Systems. CASYS'98 - Second International Conference, American Institute of Physics, Woodbury, New York, AIP Conference Proceedings 465. 1999, 75-81.
17. Collier, John. The Dynamical Basis of Information and the Origins of Semiosis. Edwina Taborsky (ed) Semiosis, Evolution, Energy: Towards a Reconceptualization of the Sign. Aachen Shaker Verlag, Bochum Publications in Semiotics New Series. 1999, 3, 111-136.
18. Collier, John.. Causation is the Transfer of Information. Howard Sankey (ed) Causation, Natural Laws and Explanation. Dordrecht: Kluwer. 1999, 279-331.
19. Collier, John. Information Theory as a General Language for Functional Systems. Anticipatory Systems: CASY'99 - Third International Conference, edited by D. M. Dubois, American Institute of Physics, Woodbury, New York, AIP Conference Proceedings. 2000.
20. Collier, John. Autonomy and Process Closure as the Basis for Functionality. Closure: Emergent Organizations and their Dynamics. edited by Jerry L.R. Chandler and Gertrudis van de Vijver, Volume 901 of the Annals of the New York Academy of Science. 2000, 280-291.
21. Collier, John. Dealing With the Unexpected. Anticipatory Systems: CASY 2000 - Fourth International Conference. D.M. Dubois (ed). American Institute of Physics, Woodbury, New York, AIP Conference Proceedings. 2001.
22. Collier, John. What is Autonomy? International Journal of Computing Anticipatory Systems: CASYS 2001 - Fifth International Conference. D.M. Dubois (ed). 2002.
23. Collier, John and Mark Burch. Order From Rhythmic Entrainment and the Origin of Levels Through Dissipation. Symmetry: Culture and Science Order / Disorder, Proceedings of the Haifa Congress 1998, 9, 165-178.
24. Collier, John and Mark Burch. Symmetry, Levels and Entrainment. Proceedings of the International Society for Systems Sciences. 2000.
25. Collier, John and Hooker, C.A. Complexly Organised Dynamical Systems. Open Systems and Information Dynamics, 1999, 6, 241-302.
26. Collier, John and Hooker C.A. Reduction in Complex Systems. Manuscript.
27. Collier, John, and S.J. Muller. The Dynamical Basis of Emergence in Natural Hierarchies. in George Farre and Tarko Oksala (eds) Emergence, Complexity, Hierarchy and Organization, Selected and Edited Papers from the ECHO III Conference, Acta Polytechnica Scandinavica, MA91, Espoo: Finish Academy of Technology. 1998.
28. Gatlin, L.L. Information Theory and the Living System, New York: Columbia University Press. 1972, 49, 70.
29. Holzmüller, W. Information in Biological Systems: the Role of Macromolecules. Cambridge: Cambridge University Press. 1984, 92-94.
30. Kolmogorov, A.N. 1965. Three Approaches to the Quantitative Definition of Information. Problems of Information Transmission 1 1965, 1-7.
31. Kolmogorov, A.N. Logical Basis for Information Theory and Probability Theory, IEEE Transactions on Information Theory 1968. 14, 662-664.
32. MacKay, Donald M. Information, Mechanism and Meaning. Cambridge, MA: MIT Press. 1969.
33. Maze, Jack, Kathleen Robson and Satindranath Banerjee. Studies into abstract properties of individuals: An empirical study of emergence in ontogeny and phylogeny in Achnatherum nelsonii and A. Lettermanii. S.E.E.D. 2001. http://www.library.utoronto.ca/see/pages/SEED%20journal%201ibrary.html.
34. Pattee, H. H. (ed.) Hierarchy theory: the challenge of complex systems. New York: Braziller. 1973.
35. Picard, J.R.W.M. Impredicativity and turn of the century foundations of mathematics: Presupposition in Poincaré and Russell, MIT dissertation in philosophy. 1993.
36. Reynolds, Craig. Boids. http://www.red3d.com/cwr/boids. 2001.
37. Rosen, R. Life Itself. New York: Columbia University Press. 1991, 44.
38. Rosen, R. Essays on Life Itself. New York: Columbia University Press. 2000.
39. Salthe, S.N. Evolving Hierarchical Systems. New York: Columbia University Press. 1985.
40. Salthe, S.N. Development and Evolution: Complexity and Change in Biology. Cambridge, MA: MIT Press. 1993.
41. Schrödinger, I.. What is Life?, reprinted in What is Life? and Mind and Matter. Cambridge: Cambridge University Press, 1944.
42. Schrödinger, I.. What is Life?, reprinted in What is Life? and Mind and Matter. Cambridge: Cambridge University Press, 1944.
43. Shannon, C.E. and Weaver W. The Mathematical Theory of Communication. Urbana: University of Illinois Press. 1949, 38.
44. Smith J.D.H. Canonical ensembles, evolution of competing species, and the arrow of time, in Evolutionary Systems: Biological and Epistemological Perspectives on Selection and Self-organization, eds. G. van de Vijver, S.N. Salthe and M. Delpos. Kluwer, Dordrecht 1998, 141-153.
45. Sober, Elliott, and Wilson, David Sloan. Unto Others. Cambridge, MA: Harvard University Press. 1999.
46. Ulanowicz, R.E. Ecology, the Ascendant Perspective. New York: Columbia University Press. 1997.
47. Wiley, E.O. and Brooks, D.R. Victims of history- A nonequilibrium approach to evolution. Syst. Zool. 1982, 31, 1-24.