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UNIVERSITY OF MICHIGAN
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Extending cognitive architectures with spatial and visual imagery mechanisms
Multiattribute call markets
A computational unification of cognitive control, emotion, and learning
Image guided respiratory motion analysis: Time series and image registration
Mechanism design and analysis using simulation-based game models
Efficient regularized solution path algorithms with applications in machine learning and data mining
Computer-aided diagnosis of pulmonary nodules on thoracic computed tomography
Mission-phasing techniques for constrained agents in stochastic environments
Structured preference representation and multiattribute auctions
Empirical game-theoretic methods for strategy design and analysis in complex games
Three papers on strategic decision making in digitally mediated markets
Analyzing infeasible constraint systems
ANN-based model-free thermal controls for residential buildings
Stronger bidding strategies through empirical game-theoretic analysis and reinforcement learning
Modeling dynamical systems with structured predictive state representations
Selective evolutionary generation systems: Theory and applications
Knowledge-based methods for evaluation of engineering changes
Text and network mining for literature-based scientific discovery in biomedicine
Abstraction, Imagery, and Control in Cognitive Architecture
Simple Partial Models for Complex Dynamical Systems
Hierarchical Functional Category Learning for Efficient Value Function Approximation in Object-Based Environments
The Optimal Reward Problem: Designing Effective Reward for Bounded Agents