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:
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: