%0 Journal Article %1 ac:Ada95 %A Adami, Christopher %D 1995 %J Physica D %K edgeofchaos learning tierra artificiallife complexity %P 154--170 %T Learning and Complexity in Genetic Auto-Adaptive Systems %V 80 %X We describe and investigate the learning capablities displayed by a population of self-replicating segments of computer-code subject to random mutation: the tierra environment. We find that learning is achieved through phase transitions that adapt the population to whichever environment it encounters, with a learning rate characterized by the environmental variables. Our results suggest that most effective learning is achieved close to the edge of chaos.

@article{ac:Ada95, abstract = {We describe and investigate the learning capablities displayed by a population of self-replicating segments of computer-code subject to random mutation: the tierra environment. We find that learning is achieved through phase transitions that adapt the population to whichever environment it encounters, with a learning rate characterized by the environmental variables. Our results suggest that most effective learning is achieved close to the edge of chaos.}, added-at = {2006-07-26T16:59:08.000+0200}, author = {Adami, Christopher}, biburl = {https://www.bibsonomy.org/bibtex/2d195299a33db443f4241e60c94c649b0/pietrosperoni}, citeulike-article-id = {437933}, interhash = {64a62227d1feb99455fef02143dab2f0}, intrahash = {d195299a33db443f4241e60c94c649b0}, journal = {Physica D}, keywords = {edgeofchaos learning tierra artificiallife complexity}, pages = {154--170}, priority = {2}, timestamp = {2009-01-07T08:09:00.000+0100}, title = {Learning and Complexity in Genetic Auto-Adaptive Systems}, volume = 80, year = 1995 }