Call for Papers

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

Possible contribution formats are technical articles, reports of research projects, dissertation summaries, book reviews, and conference reports.

If you are interested in contributing to this special issue please contact the guest editor as soon as possible:

Dr. Nils Bulling
Department of Informatics
Clausthal University of Technology
Julius-Albert-Str. 4
38678 Clausthal-Zellerfeld, Germany

About the Journal

The journal of KI – Künstliche Intelligenz 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 (50-70 pages).

Further information: