Syllabus of Readings (1996-2006)
Complex Adaptive Systems (CAS),
Artificial Life (AL),
Agent-Based Modeling (ABM), and
and Agent-Based Computational Economics (ACE)
- Last Updated: 15 April 2017
- Site maintained by:
-
Leigh Tesfatsion
- Department of Economics
- Iowa State University
- Ames, Iowa 50011-1070
-
https://faculty.sites.iastate.edu/tesfatsi/archive/tesfatsi/
-
tesfatsi AT iastate.edu
-
Agent-Based Computational Economics (ACE) Website
- Important Note:
-
This website could be of some historic interest. Originally established in 1996, it highlights pioneering CAS/AL/ABM/ACE-related books and research articles through approximately 2006. At this point, given the increasing activity in these areas, it became too unwieldly to maintain a site with this breadth of coverage. Attention was subsequently focused more narrowly on materials of interest to ABM/ACE researchers; and these materials were posted directly to the many specialized sites linked at the
ACE Website.
- Acknowledgements:
-
At the time of its initiation (1996), this site was based
in part on the artificial life syllabi prepared by Emanuel Gruengard
(Bar-Ilan University), John Koza (Stanford University), and Martin Zwick
(Portland State University), and on the Frequently Asked Questions (FAQ)
manual maintained by Joerg Heitkoetter of the University of Dortmund for the
newsgroup comp.ai.genetic.
Overview:
A system is typically defined to be a complex system if it exhibits
the following two properties (see, e.g., Gary Flake, The Computational
Beauty of Nature, MIT Press, 1998):
- The system is composed of interacting units;
- The system exhibits emergent properties, that is, properties
arising from the interactions of the units that are not properties of the
individual units themselves.
Agreement on the definition of a complex adaptive system (CAS) has
proved to be more difficult to achieve. The range of possible definitions
offered by commentators includes the following three nested
characterizations:
- Definition 1:
- A CAS is a complex
system that includes reactive units, i.e., units capable of
exhibiting systematically different attributes in reaction to
changed environmental conditions.
- Definition 2:
- A CAS is a complex
system that includes goal-directed units, i.e., units that are
reactive and that direct at least some of their reactions towards
the achievement of built-in (or evolved) goals.
- Definition 3:
- A CAS is a
complex system that includes planner units, i.e., units
that are
goal-directed and that attempt to exert some degree of control over their
environment to facilitate achievement of these goals.
Agent-based Computational Economics (ACE) is a culture-dish approach
to the study of economic systems viewed as complex adaptive systems in the
sense of Definition 1, at a minimum, and often in the stronger sense of
Definition 2 or Definition 3. As in a culture-dish laboratory experiment,
the ACE modeler starts by computationally constructing an economic world
comprising multiple interacting agents (units). The modeler then steps back
to observe the development of the world over time.
Readings by Topic Area:
-
Previewing Information:
- Some of the materials available for downloading are in
postscript (ps) or in portable document format (pdf); all others are html documents.
Adobe Acrobat Reader,
downloadable as freeware, can be used to preview and print ps and pdf files on personal computers.
- Introductory Overviews
- Evolutionary Computation
- Introductory Readings
- Genetic Algorithms and Evolving Rule
sets
- Genetic Programming
- Evolutionary Programming and
Evolution Strategies
- Artificial Neural Networks
- Other Readings of Interest
- Robotics
- Biological Evolution
- Key Issues in Biological Evolution
- Game Theory Approaches to
Biological Evolution
- Social Evolution
- Adaptation, Learning, and
Innovation
- Game Theory Approaches to Social
Evolution
- Economic and Social Network Formation
- Classic Critiques
- Software and Software Development
- Commercial Development and Application
Copyright © Leigh Tesfatsion. All Rights Reserved.