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#7: Mutual Transformative Change with Richard Watson

Love & Philosophy

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Exploring Connectionism, Learning Algorithms, and Evolutionary Principles

The chapter delves into connectionism and unsupervised learning as models for understanding learning processes, exploring how learning systems store memories and generate solutions through correlation. It discusses alternative principles of adaptation beyond random variation in biological and artificial systems, challenging traditional views on survival of the fittest. The chapter also explores evolutionary principles such as cooperation in biology, the evolution of individuality in living systems, and the influence of shape on gene expression and morphology.

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