Fall 2007 Course # STSH-4961-01
Mon-Thurs 12-2, Sage 3713. Instructor: Ron Eglash.
Description:
Self-organization
has become an increasingly important phenomenon in both the natural sciences
and engineering. Self-assembly of carbon nanotubes and self-replicating
molecules are critical to nanotechnology; self-organizing swarms of insects are
modeled in biology and robotics, and so on. But recursive loops in which things
govern themselves are also foundational to society: democracy is the people
governing the people; social networks in both physical life and internet
domains arise by self-assembly, and some decentralized indigenous societies
build self-similar architecture. This course will introduce students to models
of self-organization in natural science and engineering, and examine their
potential application to society, politics, and ethics. No math, computing or
other prerequisites are required.
To contact
instructor:
Office Hours:
Mon 10:00-12:00 and by appointment, 5502 Sage. Email: eglash@rpi.edu, phone:
276-2048. Course webpage: www.rpi.edu/~eglash/eglash.dir/selforg.html
Requirements:
Evaluation
will be based on the 4 short papers (10% each), the research project paper (30%),
the research project presentation (10%), and class participation (20%). Note
that the syllabus tells you the reading that will be discussed for that day.
You need to have done the reading before you arrive, and you are required
to bring the reading to class so that we can discuss the texts in detail. Many
class sessions you will need your laptop as well to play with simulations and
other tools.
Short
papers and research project:
Short papers
should be about 3-5 pages (double-spaced, with proper citations), and are only
“reflections” about the readings and discussion in class. The final research
project paper should be 8-10 pages (double-spaced, with proper citations); the
instructor will help you find a suitable topic for your research. Research project papers must be written by
individuals, but you are encouraged to work in groups on research projects that
require more than one discipline (eg math and social science, or computing and
ecology). Research project presentations may also be done by the group.
Texts:
economic world. Reading, Mass. :
Addison-Wesley, 1995.
Barabasi, Albert-Laszlo.
Linked: How
Everything Is Connected to Everything Else and What It Means. Plume books 2003.
Rheingold,
Howard. Smart Mobs: The Next
Social Revolution. Basic Books 2003.
Course Schedule:
August 27: Introduction
to Self-Organization. Selections from film “fast cheap and out of control.”
Aug 30.
Sept 3 Labor
day no classes
Sept 6
Sept 10
Sept 13
Sept 17
Sept 20
Sept
24 1st paper due.
Sept 27
Oct 1
Oct 4
Oct 9 (tues is mon schedule)
Oct 11
Part III:
Complexity
Oct
15 Second paper due.
Oct 18
Oct 22
Oct 25
Part IV Networks and Social
Technologies
Oct
29 Third paper due.
to create an adjacency matrix.
Nov 1
http://www.eecs.harvard.edu/~michaelm/TALKS/Radcliffe.ppt
Nov 5
Nov 8
Nov 12
Nov 15
Part V The
Politics of Self-Organization
Nov
19 Fourth paper due.
Nov 22 no
class (thanksgiving break)
Nov 26
Nov 29
Dec 3
Dec
6 Final paper due.
Some texts you might find useful in
your research projects for this course:
Politics of
self-organization
Haila, Yrjö et al. How Nature Speaks: The
Dynamics of the Human Ecological Condition. Duke University
Press 2006.
Chesters, Graeme and Welsh,
Ian. Complexity
and Social Movements: Protest at the Edge of Chaos. Routeldge
2006.
Geyer, Robert Complexity, Science and Society, Oxford: Radcliffe
Publishing 2007.
Complexity theory
R.
Lewin, Complexity: Life at the Edge of Chaos.
Macmillan Publishing Company, New York, 1992
Complexity:
the Emerging Science at the Edge of Order and Chaos by Mitchell M. Waldrop 1992
How Nature
Works: the Science of Self-organized Criticality by P. Bak
At Home in
the Universe : the Search for Laws of
Self-organization and Complexity
by Stuart Kauffman
Hidden
Order: How Adaptation Builds Complexity by John H. Holland
The
Computational Beauty of Nature: Computer Explorations of Fractals, Chaos,
Complex Systems and Adaptation by Gary William Flake
Recursion
and self-replication
Hofstadter, D. R., Gödel,
Escher, Bach: an Eternal Golden Braid, NY: Basic Books, 1979.
Robert A.
Freitas Jr., Ralph C. Merkle, Kinematic Self-Replicating Machines,
Landes Bioscience, Georgetown, TX, 2004; http://www.MolecularAssembler.com/KSRM.htm
Networks
Six Degrees : the Science of a Connected Age by Duncan J. Watts