%0 Conference Paper %1 Channon:2002:alife %A Channon, Alastair %B Proceedings of Artificial Life VIII, the 8th International Conference on the Simulation and Synthesis of Living Systems %C University of New South Wales, Sydney, NSW, Australia %D 2002 %E Standish, Russell K. %E Bedau, Mark A. %E Abbass, Hussein A. %I The MIT Press %K algorithms, genetic natural programming, selection %P 173--181 %T Improving and still passing the ALife test: Component-normalised activity statistics classify evolution in Geb as unbounded %U http://www.alife.org/alife8/proceedings/sub2118.pdf %X Bedau's (1998a) classification system for long-term evolutionary dynamics provides a test for open-ended evolution. Making this ALife test more rigorous, and passing it, are two of the most important open problems in the field. Previously (Channon 2001) I presented the result that Geb, a system designed to verify and extend theories behind the generation of evolutionary emergent systems (Channon & Damper 2000), has passed this test. However I also criticised the test, most significantly with regard to its normalisation method for artificial systems. This paper details a modified normalisation method, based on component activity normalisation, that overcomes these criticisms. It then presents the results of the revised test when applied to Geb, which indicate that this system does indeed exhibit open-ended evolution.

@inproceedings{Channon:2002:alife, abstract = {Bedau's (1998a) classification system for long-term evolutionary dynamics provides a test for open-ended evolution. Making this ALife test more rigorous, and passing it, are two of the most important open problems in the field. Previously (Channon 2001) I presented the result that Geb, a system designed to verify and extend theories behind the generation of evolutionary emergent systems (Channon & Damper 2000), has passed this test. However I also criticised the test, most significantly with regard to its normalisation method for artificial systems. This paper details a modified normalisation method, based on component activity normalisation, that overcomes these criticisms. It then presents the results of the revised test when applied to Geb, which indicate that this system does indeed exhibit open-ended evolution.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {University of New South Wales, Sydney, NSW, Australia}, author = {Channon, Alastair}, biburl = {https://www.bibsonomy.org/bibtex/2e4ff1c8d2b0d432030d8378eb3e7500a/brazovayeye}, booktitle = {Proceedings of Artificial Life VIII, the 8th International Conference on the Simulation and Synthesis of Living Systems}, editor = {Standish, Russell K. and Bedau, Mark A. and Abbass, Hussein A.}, interhash = {ee1e50f01edd3ed40c7c7a6984dbfa58}, intrahash = {e4ff1c8d2b0d432030d8378eb3e7500a}, keywords = {algorithms, genetic natural programming, selection}, month = {9th-13th December}, notes = {Author claims this is a GP but {"}genetic programming{"} appears nowhere in it}, pages = {173--181}, publisher = {The MIT Press}, publisher_address = {Cambridge, MA, USA}, size = {10 pages}, timestamp = {2008-06-19T17:37:33.000+0200}, title = {Improving and still passing the {ALife} test: Component-normalised activity statistics classify evolution in {Geb} as unbounded}, url = {http://www.alife.org/alife8/proceedings/sub2118.pdf}, year = 2002 }