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AAAI Fall Symposium 2007 - Computational Approaches to Representation Change during Learning and Development: Arlington, VA, USA
- Clayton T. Morrison, Tim Oates:
Computational Approaches to Representation Change during Learning and Development, Papers from the 2007 AAAI Fall Symposium, Arlington, Virginia, USA, November 9-11, 2007. AAAI Technical Report FS-07-03, AAAI Press 2007 - Elizabeth Baraff Bonawitz, Laura Schulz:
Children's Rational Exploration. 1-8 - Boris A. Galitsky:
Handling Representation Changes by Autistic Reasoning. 9-16 - Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup:
Representing Systems with Hidden State. 17-23 - Jeffrey Johns, Sarah Osentoski, Sridhar Mahadevan:
Representation Discovery in Planning using Harmonic Analysis. 24-31 - Doo Soon Kim, Bruce W. Porter:
Handling Granularity Differences in Knowledge Integration. 32-38 - Benjamin Kuipers:
Autonomous Robot Learning of Foundational Representations. 39 - Simon D. Levy:
Changing Semantic Role Representations with Holographic Memory. 40-45 - Omid Madani:
Exploring Massive Learning via a Prediction System. 46-53 - Omid Madani:
Prediction Games in Infinitely Rich Worlds. 54-55 - Marc Pickett, Don Miner:
Representation Change in the Marchitecture. 56-57 - Jefferson Provost:
Automatic Development from Pixel-level Representation to Action-level Representation in Robot Navigation. 58-59 - Jennifer Roberts:
Computational Models for Representation Change in Human Learning. 60-61 - Benjamin Rode, Robert C. Kahlert:
Representational Reformulation in Hypothesis-Driven Recognition. 62-69 - Aaron Sloman:
Diversity of Developmental Trajectories in Natural and Artificial Intelligence. 70-77 - Matthew E. Taylor, Peter Stone:
Representation Transfer for Reinforcement Learning. 78-85 - Thomas J. Walsh, Michael L. Littman:
A Multiple Representation Approach to Learning Dynamical Systems. 86-87 - Jia-Hong Wu, Robert Givan:
Relational State-Space Feature Learning and Its Applications in Planning. 88-
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