EVM Architecture and Complexity

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Nowostawski:2006:alife,

• author = "Mariusz Nowostawski and Martin Purvis",
• title = "EVM Architecture and Complexity",
• booktitle = "Artificial Life X. Workshop Proceedings",
• year = "2006",
• pages = "105--110",
• address = "Bloomington, IN, USA",
• month = "3-7 " # jun,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.alifex.org/program/wkshp_proceed.pdf",
• size = "6 pages",
• abstract = "This paper analyses self-organisation starting from embodied systems, i.e. physical systems situated in the real world. We establish four global fundamental properties of self-organisation and further analyse key aspects of local components. As a result we show that: synchronous Cellular Automata (CA) are not self-organised systems; and minimisation of local conflicts produces global optimal self organisation, which is evolutionarily stable. It is also hypothesised that complexity variations may distinguish living from non-living self-organised systems. Conclusions and open avenues for further research close the document.",
• notes = "future implementation on GPU?",

}

Genetic Programming entries for Mariusz Nowostawski Martin K Purvis

Citations