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17

AAAI
1998

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Concepts From Time Series

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Concepts From Time Series

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This paper describes a way of extracting concepts from streams of sensor readings. In particular, we demonstrate the value of attractor reconstruction techniques for transforming time series into clusters of points. These clusters, in turn, represent perceptual categories with predictive value to the agent/environment system. We also discuss the relationship between categories and concepts, with particular emphasis on class membership and predictive inference.

Michael T. Rosenstein, Paul R. Cohen

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AAAI 1998 | Attractor Reconstruction Techniques | Intelligent Agents | Predictive Value | Sensor Readings |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1998
Where	AAAI
Authors	Michael T. Rosenstein, Paul R. Cohen

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