CAS and the Threshold Effect: Views from the Natural
and Social Sciences.
Most interesting phenomena in
natural and social systems include transitions and oscillations among their
various phases. Companies, societies,
markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior
ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche
while others do not? What are the
characteristics of these threshold phenomena that differentiate a sea change
from a non-event? Complex Adaptive Systems (CAS)
have proven to be a powerful tool for exploring threshold phenomena. We characterize a general CAS
model as having a significant number of self-similar agents that:
- utilize one or more levels of feedback;
- exhibit emergent properties and self-organization;
- produce non-linear dynamic behavior.
Advances in modeling and
computing technology have led to a deeper understanding of complex systems in
many areas, and have raised the possibility that similar fundamental principles
may be at work across these systems, even though the underlying principles may
manifest themselves differently. We therefore invite submissions
from the community of CAS researchers that
address the threshold phenomena in any of the Natural, Physical, or Social
Sciences. It is our belief that by
bringing together researchers from diverse fields who study these complex systems,
we can leverage a deep understanding of one domain to gain insight into others. Format Our
symposium will have invited talks from leaders in the field, as well as paper
presentations on both completed and speculative work. Due to the nature and the novelty of
the theme, it is essential to allow ample time for both open-ended and targeted
discussions; as such, we will hold panel discussions and smaller break-out
groups to allow for a spirited interaction among participants. Submissions
for full papers should be no more than 10 pages, including references. Any domain in the Natural, Physical, or
Social Sciences that use CAS related technologies or frameworks are acceptable.
The submissions may address the threshold effect in a number of ways, including:
- Predicting a threshold in a particular domain
- Assessing how to accelerate desirable thresholds or slow
undesirable ones
- Defining, identifying, or understanding a threshold
effect.
Papers
that compare and contrast two or more domains are particularly encouraged. All
submissions will be peer-reviewed by at least two to three reviewers. These may
be experts in general CAS, Complexity, ABM (Agent-based Models), or the relevant fields.
All work will be judged on the following criteria:
- Clarity
- Novelty
- Importance
- Relevance
Submissions
from students conducting research in these areas are particularly welcome. Exceptional and intriguing ideas expressed in
an explanatory short paper may also be submitted. All submissions will be considered for
post-symposia publication in partnership with AAAI Press/MIT Press. There will also be a technical report of all accepted
material available to participants. Panel Proposals Panel discussion proposals are welcome.
Those interested in leading or participating on a panel should submit up to a
two-page panel proposal, along with the names and affiliations of all
panelists, if any, who have agreed to participate. Potential topics for panel discussions that
have already been discussed (but are not limited to):
- Methods
of Validation
- The
Role of Diversity in CAS Models
- CAS
Models: From Theory to Practice
- Thresholds:
Contagion, Cumulative Causation, and the Linchpin
- Social
Network Dynamics
Paper submissions that separately
address these topics are also welcome.
Submission Guidelines Submissions should be made through the EasyChair submission site. If you do not already have an EasyChair account, you will be directed to create one. Please use Times Roman 10-point font in the AAAI two column format for your paper submissions. AAAI formatting guidelines can be found here. A *.doc template is attached to this page below.
You may direct any email queries
regarding these guidelines to: tedsaid@gmail.com
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