A fast and reliable hybrid approach for inferring L-systems

Jason Bernard, Ian McQuillan

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

Lindenmayer systems (L-systems) are a formal grammar system that iteratively create new strings from previous strings by rewriting each of its symbols in parallel according to a set of rewriting rules. The symbols in the string sequence produced can be taken as instructions to produce a visualization of a process over time. They have been especially useful for creating accurate simulations of plants. The L-system inductive inference problem is the problem of inferring an L-system that initially produces a given sequence of strings. Here, a new tool to solve this problem, PMIT-D0L is introduced, that combines projected solutions with linear diophantine equations, heuristics, and genetic algorithm. PMITD0L was validated using 28 previously developed deterministic context-free L-systems of different complexity, and it can infer every L-system in the testbed with 100% success rate in less than 4 seconds, a significant improvement over existing implemented tools.

Original languageEnglish
Pages444-451
Number of pages8
Publication statusPublished - 2020
Event2018 Conference on Artificial Life: Beyond AI, ALIFE 2018 - Tokyo, Japan
Duration: 23 Jul. 201827 Jul. 2018

Conference

Conference2018 Conference on Artificial Life: Beyond AI, ALIFE 2018
Country/TerritoryJapan
CityTokyo
Period23/07/1827/07/18

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