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AIIDE
2006
14 years 11 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
IADIS
2004
14 years 11 months ago
Modelling Inductive Reasoning Ability for Adaptive Virtual Learning Environment
Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that ...
Taiyu Lin, Kinshuk, Paul McNab
AAAI
1997
14 years 11 months ago
Case-Based Similarity Assessment: Estimating Adaptability from Experience
Case-based problem-solving systems rely on similarity assessment to select stored cases whose solutions are easily adaptable to t current problems. However, widely-used similarity...
David B. Leake, Andrew Kinley, David C. Wilson
AAAI
1996
14 years 11 months ago
Neighborhood Inverse Consistency Preprocessing
Constraint satisfaction consistency preprocessing methods are used to reduce search e ort. Time and especially space costs limit the amount of preprocessing that will be cost e ec...
Eugene C. Freuder, Charles D. Elfe
AAAI
1990
14 years 11 months ago
Obtaining Quantitative Predictions from Monotone Relationships
: Tasks such as forecasting, diagnosis, and planning frequently require quantitative predictions . Typically, quantitative predictions are obtained by characterizing a system in te...
Joseph L. Hellerstein