ADT provides a multi-disciplinary forum for sharing knowledge in this area with a special focus on algorithmic issues in Decision Theory. The two first International Conference on Algorithmic Decision Theory (ADT 2009, 2011) brought together researchers and practitioners from diverse areas of computer science, economics, and operations research from around the globe, with proceedings published in LNAI 5783 and LNAI 6992. ADT 2013 seeks to continue this tradition and invites technical research papers on the following areas:

• Algorithmic Challenges to Modern Decision Support and Automation
• Uncertainty and Robustness in Decision Making
• Multi-Criteria Decision Analysis and Optimization
• Collective Decision Making
• Preferences in Reasoning and Decision Making
• Decision Theoretic Artificial Intelligence
• Learning and Knowledge Extraction for Decision Support

More specifically contributions to the conference are sought in the following topics: Preference Modeling and Aggregation; Multiobjective Optimization; Planning and Sequential Decision Making under uncertainty; Robustness in Decision Making; Computational Social Choice; Compact Representation of Preferences; Preference Elicitation, Queries in Data Bases; Universal Languages for Preferences; Efficient Algorithms for Decision Making and Support; Multi-Agent Systems; Algorithmic Game Theory; Communication Complexity; Argumentation and Explanation in Decision Support; Preferences and Policies Learning; Knowledge Extraction; Algorithm Tuning; Recommender Systems; Decision Support Systems.

The ADT 2013 Program Committee invites submissions of technical research papers that will be reviewed based on the standard criteria of clarity, relevance, significance, originality, and soundness. These papers are expected to convey substantial technical contributions to the field, or to describe case studies and deployed applications, all placed in the context of existing work.

The submissions can be proposed for oral presentation only or for both oral presentation and proceedings. The proceedings of ADT 2013 will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series (LNCS/LNAI).

The conference proceedings will be referenced on: http://dx.doi.org/10.1007/978-3-642-41575-3.

More details on the submission page.