Abstract
We propose a methodology for representing artificial creatures like 3D flowers. Directed graph and Lindenmayer system (L-system) are commonly involved in AI-based creativity research for encoding ceatures. It is difficult for L-systems to directly feed back real morphologies structurally from their genotypes, since they are a grammatical rewriting system and also use parameters such as loops, procedure calls, variables, and primitive parameters for representing their genotypes. In this paper flower genotypes are manifested by a knowledge-based structured directed graph (SDG) and phenotypes are represented a flower morphology resulting from the derivation and graphical representation of the genotypes. Evolution is simulated using an interactive genetic algorithm (IGA), where a SDG is useful for genotypic representation of creatures and IGA uses human evaluation for the fitness function. We have applied the creation of 3D flowers using the knowledge-based SDG and IGA. Experimental results show that realistic flower morphologies can be created by the proposed method.
Original language | English |
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Pages (from-to) | 391-400 |
Number of pages | 10 |
Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
Volume | 3157 |
DOIs | |
Publication status | Published - 2004 |
Event | 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence - Auckland, New Zealand Duration: 2004 Aug 9 → 2004 Aug 13 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)