** Leigh Tesfatsion, "Agent-Based Computational
Economics: Growing Economies From the Bottom Up"
(pdf,216K), Artificial Life, Volume 8, No. 1, 2002,
ACE Tutorial (1697K,ppt), by Leigh Tesfatsion.
Clark (text), Preface: "Deep Thought Meets Fluent
Action" (pp. xi-xiii) and "Introduction: A
Car with a Cockroach Brain" (pp. 1-8)
Batten (text), Preface (pp. xiii-xv) and Chapter 1:
"Chance and Necessity" (pp. 1-43)
Tesfatsion, Notes on Batten Chapter 1 (html) Department
of Economics, ISU, February 8, 2002.
Tesfatsion, "Comparing and Contrasting Bak's Sandpile
model and Schelling's City Segregation Model" (pdf,48K),
Department of Economics, ISU, January 29, 2002.
Rauch, "Seeing Around Corners", The Atlantic
Monthly, April 2002, pp. 35--48.
Rauch surveys early and ongoing research on the computational
modeling of artificial societies. He discusses early
seminal work by Thomas Schelling (University of Maryland)
in the 1970s on the evolution of spatial segregation
in cities. He also discusses work on artificial societies
(e.g., Sugarscape) carried out at the Brookings Institution
(Washington, D.C.) by Joshua Epstein, Robert Axtell,
and Ross Hammond (now at the University of Michigan).
A third pursuit surveyed by Rauch is the effort by Joshua
Epstein, in collaboration with two University of Arizona
archaeologists (George Gumerman and Jeffrey Dean), to
build an artificial society exhibiting the known characteristics
of the actual Long House Valley Anasazi culture that
existed in the southwest from approximately A.D. 800
to A.D. 1350. Interested readers can also view animations
in QuickTime format of some of the artificial societies
discussed in Rauch's article.
Winslow, "Introduction to Self-Organized Criticality
and Earthquakes" (html,12 pages), discussion paper,
Department of Geological Sciences, University of Michigan,
graphical depictions of self-organized criticality in
Bak's sandpile model, generated by Dan Ashlock, ISU
* Interactive site (in
French) maintained by Denis Phan (ENST Bretagne) on
the Schelling city segregation model. Users can run
a version of the Schelling model under a variety of
user-specified parameter settings.
David F. Batten, Discovering
Artificial Economics: How Agents Learn and Economies
Evolve, Westview Press, Boulder, Colorado, 2000, ISBN:
0-8133-9770-7. CLOSED RESERVE.
Andy Clark, Being There:
Putting Brain, Body, and World Back Together Again,
MIT Press, Paperback Edition, 1998, ISBN: 0-262-53156-9.