Syllabus of Readings
Complex Adaptive Systems (CAS), Artificial Life (AL),
Agent-Based Modeling (ABM), and
Agent-Based Computational Economics (ACE)
- Last Updated: 16 April 2017
- Site maintained by:
- Leigh Tesfatsion
- Department of Economics
- Iowa State University
- Ames, Iowa 50011-1070
tesfatsi AT iastate.edu
- Main Syllabus Menu Page:
- This site was actively maintained from 1996-2006. However, by 2006 the CAS/AL/ABM/ACE literature was growing at a rapid rate, making it difficult to maintain this broad a coverage.
Since 2006, attention has been more narrowly focused on CAS/AL/ABM/ACE-related materials of potential interest to ACE researchers. For annotated pointers to artificial intelligence and machine learning research, see
ACE Research Area: Learning and the Embodied Mind.
J. S. Albus, Brains, Behavior, and Robotics, BYTE Books,
a subsidiary of McGraw-Hill, 1988.
- Ronald C. Arkin,
The MIT Press, Cambridge, MA, June 1998, ISBN 0-262-01165-4.
- Abstract (from the book blurb): "This introduction to
the principles, design, and practice of intelligent behavior-based autonomous
robotic systems is the first true survey of this robotics field. The author
presents the tools and techniques central to the development of this class of
systems in a clear and thorough manner. Following a discussion of the
relevant biological and psychological models of behavior, he covers the use
of knowledge and learning in autonomous robots, behavior-based and hybrid
robot architectures, modular perception, robot colonies, and future trends in
robot intelligence. The text throughout refers to actual implemented robots
and includes many pictures and descriptions of hardware, making it clear that
these are not abstract simulations, but real machines capable of perception,
cognition, and action."
A. G. Brooks, J. Gray, G. Hoffman, A. Lockerd, H. Lee, and C. Breazeal,
"Robot's Play: Interactive Games with Sociable Machines"
ACM Computers in Entertainment, 2(3), 2004, 1-18.
- Absract: Personal robots for human entertainment
form a new class of computer-based entertainment that is beginning to become
commercially and computationally practical. We expect that the principal
manifestation of the robots' entertainment capabilities will be socially
interactive game playing. We describe this form of gaming and summarize our
current efforts in this direction on our lifelike, expressive, autonomous
humanoid robot. Our focus is on teaching the robot via playful interaction
using natural social gesture and language. We detail this in terms of two
broad categories: teaching as play and teaching with play.
- Rodney Allen Brooks, Flesh and Machines: How Robots Will Change Us,
Pantheon Books, 260 pp., February 2002. ISBN: 0-375-42079-7.
- Abstract (from the publisher): "(This book) explores
the startling reciprocal connection between humans and their technological
brethren, and explains how this relationship is being redefined as humans
develop increasingly complex machines. The impetus to build machines that
exhibit lifelike behaviors stretches back centuries, but for the last fifteen
years much of this work has been done in Rodney Brooks's laboratory at MIT.
His goal is not simply to build machines that are like humans but to alter
our perception of the potential capabilities of robots. Our current attitude
toward intelligent robots, he asserts, is simply a reflection of our own view
of ourselves. In Flesh and Machines, Brooks challenges that view by
suggesting that human nature can be seen to possess the essential
characteristics of a machine. Our instinctive rejection of that idea, he
believes, is itself a conditioned response: we have programmed ourselves to
believe in our `tribal specialness' as proof of our uniqueness. Provocative,
persuasive, compelling, and unprecedented, Flesh and Machines presents
a vision of our future and our future selves."
- Rodney A. Brooks is Fujitsu Professor of Computer Science and
Engineering at MIT and Director of the Artificial Intelligence Laboratory.
He is also the Chairman and Chief Technical Officer of iRobot Corporation.
David Cliff, Inman Harvey, and P. Husbands, "Explorations in Evolutionary
Robotics", Adaptive Behavior 2 (1993), pp. 73-110.
"Even a Robot Cricket Always Gets Her Mate", Science 266
(December 1994), page 1809.
D. Kortenkamp, R. P. Bonasso, and R. Murphy (eds.), Artificial
Intelligence and Mobile Robots, MIT Press, 1998, 0-262-61137-6.
- Abstract: From the book blurb: "The mobile robot
systems described in this book were selected from among the best available
implementations by leading universities and research laboratories."
P. G. Morasso and V. Sanguineti (eds.), Self-Organization, Computational
Maps, and Motor Control, North-Holland, 1997.
Abstract: "In the study of the computational structure of
biological/robotic sensorimotor systems, distributed models have gained
center stage in recent years, with a range of issues including
self-organization, non-linear dynamics, field computing etc. This
multidisciplinary research area is addressed here by a multidisciplinary team
- Robin R. Murphy, An Introduction to AI Robotics: Intelligent
Robotics and Autonomous Agents, MIT Press, December
2000, 466 pp., ISBN 0-262-13383-0.
- Abstract (from an Amazon.com editorial review): "This
text covers all the material needed to understand the principles behind the
AI approach to robotics and to program an artificially intelligent robot for
applications involving sensing, navigation, planning, and uncertainty. Robin
Murphy is extremely effective at combining theoretical and practical rigor
with a light narrative touch. ... Each chapter includes objectives, review
questions, and essays. Many chapters contain one or more case studies
showing how the concepts were implemented on real robots."
- Stefano Nolfi and Dario Floreano, Evolutionary Robotics: The Biology,
Intelligence, and Technology of Self-Organizing Machines, MIT Press (A
Bradford Book), December 2000, 384 pages, ISBN: 0-262-14070-5.
- Abstract (from the publisher): "Evolutionary robotics is
a new technique for the automatic creation of autonomous robots. Inspired by
the Darwinian principle of selective reproduction of the fittest, it views
robots as autonomous artificial organisms that develop their own skills in
close interaction with the environment and without human intervention.
Drawing heavily on biology and ethology, it uses the tools of neural
networks, genetic algorithms, dynamic systems, and biomorphic engineering.
The resulting robots share with simple biological systems the characteristics
of robustness, simplicity, small size, flexibility, and modularity. ... This
book describes the basic concepts and methodologies of evolutionary robotics
and the results achieved so far. An important feature is the clear
presentation of a set of empirical experiments of increasing complexity.
Software with a graphical interface, freely available on a Web page, will
allow the reader to replicate and vary (in simulation and on real robots)
most of the experiments."
- Stefano Nolfi is Coordinator of the Division of Neural Systems and
Artificial Life, Institute of Psychology, National Research Council, Rome.
Dario Floreano is Assistant Professor of Biorobotics and Adaptive Systems,
Institute of Robotics, Department of icroengineering, Swiss Federal Institute
of Technology, Lausanne.
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