• About Us
  • Gifts
  • AI Topics
  • AI Magazine
  • Conferences
  • Library
  • Membership
  • Publications
  • Symposia
  • Contact

Computational Approaches to Representation Change during Learning and Development

Papers from the 2007 AAAI Fall Symposium

Clayton T. Morrison and Tim Oates, Program Cochairs

Technical Report FS-07-03. Published by The AAAI Press, Menlo Park, California

This technical report is also available in book and CD format.

Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!

Contents

Organizing Committee / 1
Clayton T. Morrison and Tim Oates

Children's Rational Exploration / 1
Elizabeth Baraff Bonawitz, Laura Schulz

Handling Representation Changes by Autistic Reasoning / 9
Boris Galitsky

Representing Systems with Hidden State / 17
Christopher Hundt, Prakash Panagaden, Joelle Pineau, Doina Precup

Representation Discovery in Planning using Harmonic Analysis / 24
Jeff Johns, Sarah Osentoski, Sridhar Mahadevan

Handling Granularity Differences in Knowledge Integration / 32
Doo Soon Kim, Bruce Porter

Autonomous Robot Learning of Foundational Representations / 39
Benjamin Kuipers

Changing Semantic Role Representations with Holographic Memory / 40
Simon D. Levy

Exploring Massive Learning via a Prediction System / 46
Omid Madani

Prediction Games in Infinitely Rich Worlds / 54
Omid Madani

Representation Change in the Marchitecture / 56
Marc Pickett I, Don Miner

Automatic Development from Pixel-level Representation to Action-level Representation in Robot Navigation / 58
Jefferson Provost

Computational Models for Representation Change in Human Learning / 60
Jennifer Roberts

Representational Reformulation in Hypothesis-Driven Recognition / 62
Benjamin Rode, Robert C. Kahlert

Diversity of Developmental Trajectories in Natural and Artificial Intelligence / 70
Aaron Sloman

Representation Transfer for Reinforcement Learning / 78
Matthew E. Taylor, Peter Stone

A Multiple Representation Approach to Learning Dynamical Systems / 86
Thomas J. Walsh, Michael L. Littman

Relational State-Space Feature Learning and Its Applications in Planning / 88
Jia-Hong Wu, Robert Givan

AAAI Digital Library

AI Magazine Articles

Conference Proceedings Papers

Funding Tutorial

Presidential Addresses

Policy Reports

Symposia Papers

Workshop Papers

Other Links

AAAI Home Page

Awards

Calendar

Jobs

Meetings

AAAI Press

Resources

AAAI Workshops

This site is protected by copyright and trademark laws under US and International law. All rights reserved. Copyright © 1995–2008 Association for the Advancement of Artificial Intelligence.
Your use of this site is subject to our Terms and Conditions and Privacy Policy | Home | About AAAI | Search | Log In Page | Contact AAAI
AAAI Conferences | AI Magazine | AI Topics | Awards | Calendar | Digital Library | Jobs | Meetings | Member’s Page | Membership | Press | Press Room | Publications | Resources | Symposia | Workshops