遗传算法的哲学思考

Philosophical Reflection on Genetic Algorithms

遗传算法是基于生物进化论的"适者生存"机制和群体遗传学原理而开发出的一种随机全局搜索与优化的自适应智能算法。经过半个世纪的发展它逐渐趋于成熟,具有许多优点。它弥补了人工智能的符号主义与联结主义的缺陷,提供了对群体行为的协调性自适应学习能力的模拟方法,对认知科学的发展具有重要的认识论与方法论意义,也为科学哲学中语境实在论思想提供了一个现实的案例支持。

Genetic Algorithms is an adaptive intelligent algorithm about random global search and optimization based on the mechanism of 'survival of the fittest' of biological evolutionary theory and population genetics principle.It became mature gradually after the development of past fifty years and has many advantages.It makes up the defects of symbolism and connectionism.It provides the simulation method for coordinate adaptive learning capability of the group behavior.It has important significance of epistemology and methodology for development of cognitive science.It provides a real case for contextual realism in philosophy of science.