2009-11-09

[Tccc] IEEE TCIAIG-Special Issue: Computational Intelligence and AI in Economic and Financial Games

IEEE Transactions on Computational Intelligence and AI in Games

Special Issue: Computational Intelligence and AI in Economic and Financial
Games

Special-issue editors: Han La Poutr, Edward Tsang, Athanasios V.

Vasilakos

Economic and financial markets are often modeled in the form of economic or
financial games. This involves different players (or agents) that act in
such a marketplace. Such market models may vary from basic models like the
Cournot oligoply game, to labour markets, financial markets, auctions, and
negotiations.

Economic games model or prescribe rules for economic interaction and the
resulting payoffs. Given such game rules, typical issues are what strategies
players should play to get the best reward, what equilibria exist in such
games, and how rules should be changed to obtain certain intended overall
behaviour (e.g. from the regulators? point of view).

The usage of Computational Intelligence and AI techniques in economic games
has increased considerably in recent years. Instances include developing
adaptive agent strategies in games, developing negotiation strategies by
using adaptive opponent models, or by developing game rules that meet the
intended goals for joint behaviour of the players (mechanism design).

This special issue invites original papers in the above fields. Topics
include the development, usage or application of AI and CI techniques for
games including, but not limited to:

* Basic economic market games (coming from micro economics)

* Advanced market models (coming from realistic markets)

* Auction and negotiation games

* Games for policy formulation and training purposes

* Bargaining models

* Auditing

* Investment games and Risk management

The objectives may vary from strategy development and policy design, to
mechanism design, investigation of emergent behaviour, or the use of
simulation tools for decision makers (management games). Techniques of
particular interest include:

? Monte Carlo simulations

? Reinforcement learning

? Neural networks

? Evolutionary algorithms, evolutionary game theory, and the

evolution of agent behavior

? Static and dynamic games of incomplete information

Authors with original and innovative papers are invited to submit to the
Special Issue. Authors should follow normal T-CIAIG guidelines for their
submissions, but clearly identify their papers for this special issue during
the submission process.

Schedule

? Deadline for submissions: December 15 2009

? Notification of Acceptance: February 28 2010

? Final copy due: May 30 2010

? Publication: Summer/Autumn 2010

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