[agents] CFP: Special Issue on Multi-Agent Decision Making

[Nils Bulling]

Call for Papers: Journal of Künstliche Intelligenz (Springer)
Special Issue on Multi-Agent Decision Making
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Classical decision making is concerned with how rational agents make optimal decisions. In distributed decision making complex problems are divided into smaller ones and decisions are made in a distributed manner. Also, it often is the case that all involved decision makers are sharing---willingly or not---a global objective and that they are somewhat cooperative.

In general, this is not the case for multi-agent decision making which is concerned with self-interested agents pursuing their own objectives. Those objectives may be consistent but can just as well be completely contradicting; they can be publicly known or private. As a consequence, good decisions no longer only depend on the respective agent's capabilities and the characteristics of the environment, but to a great extent on how other agents behave and on the interaction with them. In most settings these behaviors influence each other and that complicates matters further---new tools and techniques are needed.

This special issue will focus on multi-agent decision making. Topics of interest include but are not limited to:

-logics for multi-agent systems
-game theory and (computational) social choice
-foundations of multi-agent systems
-multi-agent planning and control
-norms and social laws
-argumentation and negotiation
-decision theory

The journal of KI – Künstliche Intelligenz [1,2] is the German Journal on Artificial Intelligence which has been published by Springer since 2010. Each issue has a thematic priority that covers roughly 2/3 to 3/4 of it. Possible contribution formats are technical articles (6-10 pages), reports of research projects (4-6 pages), dissertation summaries, book reviews, and conference reports.

If you are interested in contributing to this special issue please contact the guest editor, Dr. Nils Bulling, as soon as possible: bulling at in.tu-clausthal.de.

Links: 
[1] http://www.springer.com/computer/ai/journal/13218
[2] http://www.kuenstliche-intelligenz.de

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Dr. Nils Bulling
Clausthal University of Technology, Germany
http://www.nbulling.de
phone: +49 5323 72 7182