Natalia L. Komarova

In this course

Natalia L. Komarova appears to work on evolutionary game theory and its applications to perceptual and cognitive systems, grounding how sensory categories emerge through adaptive pressure rather than pure logic. The course readings invoke her dynamical models to argue that perception itself is shaped by evolutionary contingency—predators, prey, sexual selection—rather than objective reality, challenging foundational assumptions about how AI systems should represent the world. This connects directly to the seminar's concern with how machine learning inherits and amplifies the contingent biases baked into human perception by evolution.

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