Understanding how decisions are made in risky situations with
incomplete, imperfect, and uncertain information continues to be a
critical interdisciplinary research question that has far-reaching
implications in fields ranging from engineering to economics to public
policy. In situations wherein multiple alternatives to a particular
problem exist, each with uncertain variables and pay-offs that must be
analyzed and decided upon, the aim is to improve decision-making so
that goals can be attained while minimizing undesirable, unintended
consequences.
Concurrent with the problem of decision-making is
forecasting the effects of decisions. Both of these matters are
complicated by the realities of collective decision-making of
increasing scale and complexity that is typical of highly complex
engineering design problems. Decision-making research is also
progressively turning to the problem of the complex interplay of
stakeholders each with differing authority and information upon which
to make decisions and who have competing beliefs and incentives. All
of these facets of decision-making make this an exciting area of
research.
In order to tackle these matters, research methods in decision-making
now range from formal, mathematical modeling to statistical mechanics
based models to agent-based modeling and simulation to empirical,
behavioral research. Research in this area is reaching beyond
normative models of decision-making to examine cognitive (e.g.,
frames), emotional (e.g., beliefs) and social factors (e.g., herding)
that influence decision-making.
This special issue is aimed at disseminating the state-of-the-art
research and applications, addressing the major challenges and issues
of decision modeling and developing and applying intelligent decision
support systems. The guest editors invite authors to submit original
papers to this special issue. The guest editors are also interested in
authoritative reviews of the state of the art and directions for
future research in the area.
The special issue will cover, but is not limited to, the following topics:
- Decision support systems and decision process modeling
- Empirical studies in decision making including handling risk,
uncertainty and imperfect information in individual, small group,
and collective decision-making
- Decision analysis including new computational methods for
analyzing large-scale decision networks
- Decision theories, including game theory, utility theory,
probability theory, fuzzy set theory, Bayesian theory, among
others
- Approaches to Decision-based Design
All submissions will be anonymously reviewed by at least three
reviewers. The selection for publication will be made on the basis of
these reviews. High quality papers not selected for this special
issue may be considered for standard publication in AIEDAM.
Information about the format and style required for
AIEDAM papers can be found at
www.cs.wpi.edu/~aiedam/Instructions/.
Note that all enquiries and submissions for special issues
go to the Guest Editors, and not to the Editor in Chief.
Important dates:
Intend to submit (Abstract & Title): As soon as possible
Submission deadline for full papers: 15 September 2011
Reviews due: 15 December 2011
Notification and reviews to authors: 15 January 2012
Revised version submission deadline: 1 April 2012
Issue to publisher: 1 June 2012
Guest editors:
Andy Dong
E-mail: andy.dong at sydney.edu.au
Julie Jupp
E-mail: Julie.Jupp at uts.edu.au
