Chunking in Soar: The anatomy of a general learning mechanism

@article{Laird1986ChunkingIS,
  title={Chunking in Soar: The anatomy of a general learning mechanism},
  author={John E. Laird and Paul S. Rosenbloom and Allen Newell},
  journal={Machine Learning},
  year={1986},
  volume={1},
  pages={11-46}
}
In this article we describe an approach to the construction of a general learning mechanism based on chunking in Soar. Chunking is a learning mechanism that acquires rules from goal-based experience. Soar is a general problem-solving architecture with a rule-based memory. In previous work we have demonstrated how the combination of chunking and Soar could acquire search-control knowledge (strategy acquisition) and operator implementation rules in both search-based puzzle tasks and knowledge… CONTINUE READING
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Universal subgoaling

  • J. E. Laird
  • Doctoral dissertation, Computer Science…
  • 1984
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The chunking of goal hierarchies : A generalized model of practice

  • P. S. Rosenbloom, A. Newell
  • 1986

The chunking of goal hierarchies: A generalized model of prac

  • P. S. Rosenbloom, A. Newell
  • 1986

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