jECHO References

Here is the reference list I used for the jECHO dissertation.

Axtell, R(2000) Why Agents? On the Varied Motivations for Agent Computing in the SocialSciences. The Brookings Institution.
http://www.brookings.edu/es/dynamics/papers/agents/agents.htm

Bedau, M.A., (1999) Can Unrealistic Computer Models Illuminate Theoretical Biology? In Proceedings of the 1999 Genetic and EvolutionaryComputation Conference Workshop Program, Orlando, Florida, July 13, 1999,Annie S. Wu, ed., pp. 20-23.
http://citeseer.ist.psu.edu/bedau99can.html

Bedau, M.A., Snyder, E., and Packard, N.H. (1998). A classification of long-term evolutionary dynamics. In Adami, C., Belew, R., Kitano, H., and Taylor, C., editors, Artificial Life VI. MIT Press.
http://citeseer.ist.psu.edu/bedau98classification.html

Collier et. al. (2004) RePast: MultiAgent Simulation Toolkit version 2.2
http://repast.sourceforge.net/

Cuvelier, B., Preux P. and Cambier C. (1997) Studying Adaptation with ECHO.
http://citeseer.ist.psu.edu/104353.html

Dominiak, D.M., Rinaldo, F., Evans, M.W. (2001) Effects of limited resources in 3D real-time simulation of an extended ECHO complex adaptive system model. AIP Conference Proceedings Vol 583(1) pp. 258-260. 2001
http://conferences.fnal.gov/acat2000/program/papers/posters/p102_paper.doc

Dooley, K. (1996) A Nominal Definition of Complex Adaptive Systems, The Chaos Network, 8(1): 2-3.
http://www.public.asu.edu/~kdooley/papers/casdef.PDF

Epstein, J. M. and Axtell, R. (1996) Growing Artificial Societies - Social Science from the Bottom Up. MIT Press, Cambridge, MA.

Growing Artificial Societies

Forrest, S. and Jones, T. (1994) Modeling Complex Adaptive Systems with ECHO. In Complex Systems: Mechanisms of Adaptation. Stoner R.J. and Yu X.H. : IOS Press 1994.
http://citeseer.ist.psu.edu/stephanie94modeling.html

Gell-Mann, M. (1994) The quark and the jaguar. New York: WH Freeman.

The Quark and the Jaguar

Harris, D.L. (2001) Echo Implemented: A Model for Complex Adaptive Systems Computer Experimentation. SAND2001-2097. Sandia National Laboratories.
http://www.osti.gov/energycitations/product.biblio.jsp?osti_id=786628

Holland, John H, Holyoak, K.J., Nisbett, R.E., and Thagard, P.A. (l986) Induction: Processes of Inference, Learning, and Discovery, MIT Press.

Induction: Processes of Inference, Learning, and Discovery

Holland, John. H. (1992) Adaptation in Natural and Artificial Systems, MIT Press.

Adaptation in Natural and Artificial Systems

Holland, John H. (1994) Echoing Emergence: Objectives, Rough Definitions, and Speculations for ECHO-Class Models (Page 309-333) in Complexity Metaphors, Models, and Reality, Perseus Books.

Complexity Metaphors, Models, and Reality

Holland, John. H. (1995) Hidden Order, Helix Books.

Hidden Order

Holland, John H. (1995) Can There Be a Unified Theory of Complex Adaptive Systems? from The Mind, The Brain, and Complex Adaptive Systems, Proceedings Volume from Santa Fe Institute Studies in the Sciences of Complexity. Addison Wesley.

Hraber, P.T., Milne, B.T. (1996) Community assembly in a model ecosystem.
http://citeseer.ist.psu.edu/hraber96community.html

Hraber, P.T., Jones, T., and Forrest, S. (1997) The Ecology of Echo. Artificial Life, 3:165-190.
http://citeseer.ist.psu.edu/hraber96ecology.html

Jones, T. and Forrest, S. (1993) An Introduction to SFI Echo. Technical Report 93-12-074, Santa Fe Institute.

Lotka, A.J. (1956) Elements of Mathematical Biology. Dover.

Elements of Mathematical Biology

Minar, N., Burkhart, R., Langton, C., Askenazi, M. (1996) The Swarm Simulation System: A Toolkit for Building Multi-agent Simulations
http://www.santafe.edu/projects/swarm/swarmdoc/swarmdoc.html

Mitchell, M. and Forrest, S. (1993) Genetic Algorithms and Artificial Life.
http://citeseer.ist.psu.edu/mitchell93genetic.html

Packard. N.H. (1988) Evolving Bugs in a simulated ecosystem. Intrinsic adaptation in a simple model for evolution. In C.G. Langton, editor, Artificial Life, volume I of Santa Fe Institute Studies in the Sciences of Complexity, pages 141–155, Reading, MA, 1988. Addison-Wesley.

Artificial Life Vol. 1

Ray, T.S. (1992) Evolution, Ecology and Optimization of Digital Organisms. Santa Fe Institute Working Paper 92-08-042
http://citeseer.ist.psu.edu/27898.html

Reason, P. and Goodwin (1999) Toward a science of qualities in organizations: lessons from Complexity theory and postmodern biology
http://www.psych.lse.ac.uk/complexity/PDFiles/publication/goodwen.pdf

RePast (2004) How to Run a RePast Simulation
http://repast.sourceforge.net/tutorials/simstart.html

Schmitz, O.J. and Booth, G. (1997) Modeling food web complexity: the consequences of individual-based, spatially explicit behavioral ecology on trophic interactions. Evolutionary Ecology 11:379-398.
http://www.cbc.yale.edu/old/cce/papers/gecko.html

Smith R.M. and Bedau, M.A. (1997) Emergence of Complex Ecologies in ECHO.
http://citeseer.ist.psu.edu/smith97emergence.html

Smith, R.M. and Bedau, M.A. (1999) Is ECHO a Complex Adaptive System?
http://citeseer.ist.psu.edu/298657.html

Waldrop, M. (1992) Complexity: the emerging science at the edge of chaos. Simon & Schuster, New York.

Complexity: the emerging science at the edge of chaos

Wolfram, S. (1983) Cellular Automata
http://www.santafe.edu/projects/echo/echo.html