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Evolved Developmental Strategies of Artificial Multicellular Organisms
- Source :
- Proceedings of the Artificial Life Conference 2016, 15th International Symposium on the Synthesis and Simulation of Living Systems (ALIFE XV 2016), 15th International Symposium on the Synthesis and Simulation of Living Systems (ALIFE XV 2016), Jul 2016, Cancun, Mexico. pp. 1-8
- Publication Year :
- 2016
- Publisher :
- MIT Press, 2016.
-
Abstract
- International audience; We present the use of a new computationaly efficient 3D physics model for the simulation of cells in a virtual aquatic world. In this model, cells can freely assemble and disconnect along the simulation without any separation between the development and evaluation stages, as is the case in most evo-devo models which only consider one cell cluster. While allowing for the discovery of interesting behaviors through the addition of new degrees of freedom, this 3D center-based physics engine and its associated virtual world also come with their drawbacks when applied to evolutionnary experiments: larger search space and numerous local optima. In this paper, we have designed an experiment in which cells must learn to survive by keeping their genome alive as long as possible in a demanding world. No morphology or strategy is explicitly enforced; the only objective the cells have to optimize is the survival time of the organism they build. We show that a novelty metric, adapted to our evo-devo matter, dramatically improves the outcome of the evolutionary runs. This paper also details some of the developmental strategies the evolved multicellular organisms have found in order to survive.
- Subjects :
- 02 engineering and technology
Biology
01 natural sciences
Outcome (game theory)
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Traitement des images
Local optimum
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Cell cluster
0202 electrical engineering, electronic engineering, information engineering
Traitement du signal et de l'image
0101 mathematics
Physics engine
H- INFORMATIQUE
Synthèse d'image et réalité virtuelle
Organism
business.industry
010102 general mathematics
Novelty
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Vision par ordinateur et reconnaissance de formes
Intelligence artificielle
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Multicellular organism
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Metric (mathematics)
3D physics model
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Language :
- French
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Artificial Life Conference 2016, 15th International Symposium on the Synthesis and Simulation of Living Systems (ALIFE XV 2016), 15th International Symposium on the Synthesis and Simulation of Living Systems (ALIFE XV 2016), Jul 2016, Cancun, Mexico. pp. 1-8
- Accession number :
- edsair.doi.dedup.....77fa2fd6422ddff3e1d608f33d6ba462