AS

All accepted submissions will be published in the Workshop and Conference Proceedings series of the Journal of Machine Learning Research (JMRL).

Confirmed Invited Talks (in alphabetical order)

Daniel Braun , Max Planck Institute for Biological Cybernetics, Germany

INFORMATION-THEORETIC BOUNDED RATIONALITY FOR LEARNING AND DECISION-MAKING

IMPERFECT DECISION MAKERS: ADMITTING

REAL-WORLD RATIONALITY

The Proceedings of the 3rd Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation (SCALE) held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013) can be uploaded below.

The workshop aims to exploit the knowledge and experience of multi-disciplinary scientific community and to extract a set of fundamental concepts describing a phenomenon of dynamic decision making with interacting imperfect selfish participants. Devices (e.g. robots), computer algorithms (e.g. controllers), humans (e.g. experts) and their combination will be considered. This challenging aim requires a deep understanding the main discrepancies between normative and descriptive theories as well as the imperfection phenomenon.

Attendance of the workshop requires registration to ECML PKDD 2013. More information can be found at the conference site.  Please visit the ECML/PKDD 2013 Registration page for more information.