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Optimization as an analysis tool for human complex decision making
mixed-integer programming nonlinear programming cognitive psychology measurement and performance
2015/7/21
We present a problem class of mixed-integer nonlinear programs (MINLPs) with nonconvex continuous relaxations which stem from economic test scenarios that are used in the analysis of human complex pro...
Increasing Scalability in Algorithms for Centralized and Decentralized Partially Observable Markov Decision Processes: Efficient Decision-Making and Coordination in Uncertain Environments
Artificial Intelligence Decision Theory Game Theory Machine Learning Multiagent Systems Reasoning Under Uncertainty
2014/12/18
As agents are built for ever more complex environments, methods that consider the uncertainty in the system have strong advantages. This uncertainty is common in domains such as robot navigation, medi...
Making Networks Robust to Component Failures
networking smart grid reliability algorithms NP-Complete
2014/12/18
In this thesis, we consider instances of component failure in the Internet and in networked cyber-physical systems, such as the communication network used by the modern electric power grid (termed the...
Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning
Active Learning Algorithmic Information Theory Algorithmic Randomness Evidence-Based Management Kolmogorov Complexity P-Values Transduction Critical States Prediction
2013/1/28
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is...