Myths and Legends of the Baldwin Effect

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dc.creatorTurney, Peter D.
dc.date2002-12-11
dc.date.accessioned2026-07-07T03:19:16Z
dc.date.available2026-07-07T03:19:16Z
dc.descriptionThis position paper argues that the Baldwin effect is widely misunderstood by the evolutionary computation community. The misunderstandings appear to fall into two general categories. Firstly, it is commonly believed that the Baldwin effect is concerned with the synergy that results when there is an evolving population of learning individuals. This is only half of the story. The full story is more complicated and more interesting. The Baldwin effect is concerned with the costs and benefits of lifetime learning by individuals in an evolving population. Several researchers have focussed exclusively on the benefits, but there is much to be gained from attention to the costs. This paper explains the two sides of the story and enumerates ten of the costs and benefits of lifetime learning by individuals in an evolving population. Secondly, there is a cluster of misunderstandings about the relationship between the Baldwin effect and Lamarckian inheritance of acquired characteristics. The Baldwin effect is not Lamarckian. A Lamarckian algorithm is not better for most evolutionary computing problems than a Baldwinian algorithm. Finally, Lamarckian inheritance is not a better model of memetic (cultural) evolution than the Baldwin effect.
dc.description8 pages
dc.identifierhttps://arxiv.org/abs/cs/0212036
dc.identifierhttp://arxiv.org/abs/cs/0212036
dc.identifier13th International Conference on Machine Learning, Workshop on Evolutionary Computation and Machine Learning, Bari, Italy, (1996), 135-142
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31395
dc.subjectMachine Learning
dc.subjectNeural and Evolutionary Computing
dc.subjectI.2.6; I.2.8
dc.titleMyths and Legends of the Baldwin Effect
dc.typetext

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