The advent of extremely cheap computing is quickly leading to a world filled with large, artificial, distributed systems of self-motivated components. This is in addition to the many naturally occuring systems of this character. Very often we have performance criteria by which we rank the dynamic behavior of such systems, e.g., GDP growth in a human economy, stock price of a corporation, percentage of available free energy used by an ecosystem, total throughput in a data network, total scientific information gathered by a constellation of deployables, etc..
Following up on the success of CDoCS 2002, this workshop will bring together leading researchers from the physics, economics, biology, engineering and computer science communities to help cement the foundation of the field studying such systems. This field studies two broad problems:
1) The forward problem concerns understanding the process by which the structure underlying the local interactions of a collective affects the overall performance criteria.
2) The inverse problem arises when we wish to design the structure of the system to optimize its behavior according to the pre-specified performance criteria.
This workshop will contain several short courses, in addition to invited talks, contributed talks, and poster sessions generated from submitted papers. The aim of these short courses is to establish a common language and background for workshop attendees. They will cover the relationship between the study of collectives and the following more established disciplines:
i) Mechanism Design/ Game theory;
ii) Statistical Physics / Econophysics;
iii) Optimization / Engineering design;
iv) Collective Intelligence / Reinforcement Learning.
It is intended that a book of the tutorials and selected works from the workshop will be published.
Lectures and talks will be given by:
Submissions are solicited, especially (though not exclusively) from the following fields:
* Control of chaos
* Nonlinear control
* Nonlinear time series analysis
* Computational economics
* Mechanism design
* (Evolutionary) Game theory
* Statistical physics
* Population biology
* Multiagent systems
* Distributed adaptive control
* Reinforcement learning
The workshop will be held on the Stanford University campus, an easy drive from either San Jose or San Fransisco Airports.
The due date for submissions is June 6, 2003, to one of organizers listed below. Please indicate preference for either a talk or a poster, and have submission be in either postscript or PDF format. There is no set page limit per se.
We will make the drafts available to the workshop participants prior to the workshop. Final contributions, based on comments from participants and discussions at the workshop will be due approximately one month after the workshop.
If you have any questions, please contact Kagan Tumer or Ilan Kroo or David Wolpert by email.