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Inference of Lindenmayer Systems McQuillan, Ian
Description
Lindenmayer systems (L systems) provide a concise mathematical formulation for creating simulations of plants that are descriptively accurate, while also taking into account various molecular-level controls. At present, most plant models are created manually by experts from measured data and scientific knowledge. However, manual creation does not scale to the creation of thousands of models needed to correspond to plants developed by plant breeders. In this talk, we discuss existing and new approaches to the automatic inference of Lindenmayer systems from data, with a focus on inductive inference. This includes exact approaches, approaches using evolutionary algorithms, and other heuristics.
Item Metadata
Title |
Inference of Lindenmayer Systems
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2017-12-13T08:49
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Description |
Lindenmayer systems (L systems) provide a concise mathematical formulation for creating simulations of plants that are descriptively accurate, while also taking into account various molecular-level controls. At present, most plant models are created manually by experts from measured data and scientific knowledge. However, manual creation does not scale to the creation of thousands of models needed to correspond to plants developed by plant breeders. In this talk, we discuss existing and new approaches to the automatic inference of Lindenmayer systems from data, with a focus on inductive inference. This includes exact approaches, approaches using evolutionary algorithms, and other heuristics.
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Extent |
35 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: University of Saskatchewan
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Series | |
Date Available |
2018-07-05
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0368820
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International