Algorithmic Decision Theory (COST Action ICT 0602)
7/2 /2007 - 2/5/2011
C. H. Antunes, MC Member
The Action aims to put together researchers coming from different fields such as Decision Theory, Discrete Mathematics, Theoretical Computer Science and Artificial Intelligence in order to improve decision support in the presence of massive data bases, combinatorial structures, partial and/or uncertain information and distributed, possibly interoperating decision makers. Such problems arise in several real-world decision making problems such as humanitarian logistics, epidemiology, risk assessment and management, e-government, electronic commerce, and the implementation of recommender systems. The Action will coordinate ongoing research projects and provide a more solid framework to already existing networked activities.
Keywords: Decision Theory, Artificial Intelligence, Algorithmic Efficiency, Uncertainty Management, Decision Support, Robustness