Improving and still passing the ALife test:
Component-normalised activity statistics classify
evolution in Geb as unbounded
A. Channon. Proceedings of Artificial Life VIII, the 8th
International Conference on the Simulation and
Synthesis of Living Systems, Seite 173--181. University of New South Wales, Sydney, NSW,
Australia, The MIT Press, (9th-13th December 2002)
Zusammenfassung
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.
%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
}