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Biological principles have been at the heart of the success
of many AI approaches over the past decades, and the field
of biology, particularly evolutionary theory, serves as a
prime candidate to become the primary conceptual
foundation for the future of adaptive intelligent systems.
This two-part course will first explore the current state of
bio-inspired artificial intelligence and computation,
including neural systems, collective systems, evolutionary
algorithms, and artificial life. It will then analyze the
relationship between evolutionary processes and both
natural and artificial intelligence, followed by a deep dive
into recent advances in evolutionary theory, the shifting
conceptual understanding of evolution, and the
potential ramifications for the future of AI.
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