Extending Introspective Learning from Self-Models

This position paper presents open issues for using self-models to guide introspective learning, focusing on five key types of areas to explore: (1) broadening the range of learning focuses and the range of learning tools which may be brought to bear, (2) learning for self-understanding as well as self-repair, (3) making model-based approaches more sensitive to processing characteristics, instead of only outcomes, (4) making model application more flexible and robust, and (5) increasing support for self-explanation and user interaction with the meta-

[1]  Kristian J. Hammond,et al.  Case-Based Planning: Viewing Planning as a Memory Task , 1989 .

[2]  Matthew W. Lewis,et al.  Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems , 1989, Cogn. Sci..

[3]  Michael Freed,et al.  A model-based approach to the construction of adaptive case-based planning systems , 1991 .

[4]  Kurt VanLehn,et al.  A model of the self-explanation effect. , 1992 .

[5]  Eleni Stroulia,et al.  Functional representation and reasoning for reflective systems , 1995, Appl. Artif. Intell..

[6]  Ashwin Ram,et al.  Introspective reasoning using meta-explanations for multistrategy learning , 1995 .

[7]  David C. Wilson,et al.  Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning , 1997, IJCAI.

[8]  David C. Wilson,et al.  A Case Study of Case-Based CBR , 1997, ICCBR.

[9]  Ashwin Ram,et al.  Introspective Multistrategy Learning: On the Construction of Learning Strategies , 1999, Artif. Intell..

[10]  David B. Leake,et al.  Introspective reasoning for index refinement in case-based reasoning , 2001, J. Exp. Theor. Artif. Intell..

[11]  Shlomo Zilberstein,et al.  Monitoring and control of anytime algorithms: A dynamic programming approach , 2001, Artif. Intell..

[12]  Karen L. Myers,et al.  The SPARK agent framework , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[13]  Michael T. Cox Metacognition in computation: A selected research review , 2005, Artif. Intell..

[14]  Victor R. Lesser,et al.  A framework for meta-level control in multi-agent systems , 2007, Autonomous Agents and Multi-Agent Systems.

[15]  Michael T. Cox Metareasoning: A manifesto , 2007 .

[16]  Tim Oates,et al.  A Review of Recent Research in Metareasoning and Metalearning , 2007, AI Mag..

[17]  Ashok K. Goel,et al.  Meta-case-based reasoning: self-improvement through self-understanding , 2008, J. Exp. Theor. Artif. Intell..