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AAAI
2010

Integrated Systems for Inducing Spatio-Temporal Process Models

14 years 1 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In the past, such systems have been limited to data sets that recorded change over time, but many interesting problems involve both spatial and temporal dynamics. To meet this challenge, we introduce SCISM, an integrated intelligent system which solves the task of inducing process models that account for spatial and temporal variation. We also integrate SCISM with a constraint learning method to reduce computation during induction. Applications to ecological modeling demonstrate that each system fares well on the task, but that the enhanced system does so much faster than the baseline version.
Chunki Park, Will Bridewell, Pat Langley
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where AAAI
Authors Chunki Park, Will Bridewell, Pat Langley
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