Revising the evolutionary computation abstraction: minimal criteria novelty search

作者: Joel Lehman , Kenneth O. Stanley

DOI: 10.1145/1830483.1830503

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摘要: Though based on abstractions of nature, current evolutionary algorithms and artificial life models lack the drive to complexity characteristic of natural evolution. Thus this paper argues that the prevalent fitness-pressure-based abstraction does not capture how natural evolution discovers complexity. Alternatively, this paper proposes that natural evolution can be abstracted as a process that discovers many ways to express the same functionality. That is, all successful organisms must meet the same minimal criteria of survival and …

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