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» Information elicitation for decision making
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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
SACMAT
2009
ACM
14 years 2 months ago
A decision support system for secure information sharing
In both the commercial and defense sectors a compelling need is emerging for highly dynamic, yet risk optimized, sharing of information across traditional organizational boundarie...
Achille Fokoue, Mudhakar Srivatsa, Pankaj Rohatgi,...
IAT
2005
IEEE
14 years 1 months ago
Conversation Pattern-based Anticipation of Teammates' Information Needs via Overhearing
One research focus of human-centered teamwork is on advanced decision architectures that can help people make effective and timely decisions. This requires distributed team member...
Xiaocong Fan, John Yen
IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
LION
2010
Springer
197views Optimization» more  LION 2010»
13 years 11 months ago
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...
Paolo Campigotto, Andrea Passerini