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58 lines
2.2 KiB
Plaintext
Executable File
58 lines
2.2 KiB
Plaintext
Executable File
1. Title: Balance Scale Weight & Distance Database
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2. Source Information:
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(a) Source: Generated to model psychological experiments reported
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by Siegler, R. S. (1976). Three Aspects of Cognitive
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Development. Cognitive Psychology, 8, 481-520.
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(b) Donor: Tim Hume (hume@ics.uci.edu)
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(c) Date: 22 April 1994
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3. Past Usage: (possibly different formats of this data)
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- Publications
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1. Klahr, D., & Siegler, R.S. (1978). The Representation of
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Children's Knowledge. In H. W. Reese & L. P. Lipsitt (Eds.),
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Advances in Child Development and Behavior, pp. 61-116. New
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York: Academic Press
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2. Langley,P. (1987). A General Theory of Discrimination
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Learning. In D. Klahr, P. Langley, & R. Neches (Eds.),
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Production System Models of Learning and Development, pp.
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99-161. Cambridge, MA: MIT Press
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3. Newell, A. (1990). Unified Theories of Cognition.
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Cambridge, MA: Harvard University Press
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4. McClelland, J.L. (1988). Parallel Distibuted Processing:
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Implications for Cognition and Development. Technical
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Report AIP-47, Department of Psychology, Carnegie-Mellon
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University
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5. Shultz, T., Mareschal, D., & Schmidt, W. (1994). Modeling
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Cognitive Development on Balance Scale Phenomena. Machine
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Learning, Vol. 16, pp. 59-88.
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4. Relevant Information:
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This data set was generated to model psychological
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experimental results. Each example is classified as having the
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balance scale tip to the right, tip to the left, or be
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balanced. The attributes are the left weight, the left
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distance, the right weight, and the right distance. The
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correct way to find the class is the greater of
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(left-distance * left-weight) and (right-distance *
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right-weight). If they are equal, it is balanced.
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5. Number of Instances: 625 (49 balanced, 288 left, 288 right)
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6. Number of Attributes: 4 (numeric) + class name = 5
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7. Attribute Information:
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1. Class Name: 3 (L, B, R)
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2. Left-Weight: 5 (1, 2, 3, 4, 5)
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3. Left-Distance: 5 (1, 2, 3, 4, 5)
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4. Right-Weight: 5 (1, 2, 3, 4, 5)
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5. Right-Distance: 5 (1, 2, 3, 4, 5)
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8. Missing Attribute Values:
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none
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9. Class Distribution:
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1. 46.08 percent are L
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2. 07.84 percent are B
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3. 46.08 percent are R
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