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Josh Bongard - Evolutionary computation - IPAM at UCLA
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Classroom Contents
Mathematics of Intelligences - Computational Models, Neural Mechanisms, and Evolutionary Approaches
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- 1 Hongjing Lu - Computational Models of Human Cognition, Pt. 1 of 2 - IPAM at UCLA
- 2 Mayank Mehta - Neural mechanisms of intelligence, Pt. 1 of 3 - IPAM at UCLA
- 3 Josh Bongard - Evolutionary computation - IPAM at UCLA
- 4 Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 3 of 3 - IPAM at UCLA
- 5 Hongjing Lu - Computational Models of Human Cognition, Pt. 2 of 2 - IPAM at UCLA
- 6 Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 1 of 3 - IPAM at UCLA
- 7 Misha Belkin - The elusive generalization and easy optimization, Pt. 1 of 2 - IPAM at UCLA
- 8 Erica Cartmill - Basic Models of Animal Cognition, Pt. 1 of 3 - IPAM at UCLA
- 9 Misha Belkin - The elusive generalization and easy optimization, Pt. 2 of 2 - IPAM at UCLA
- 10 Mayank Mehta - Neural mechanisms of intelligence, Pt. 2 of 3 - IPAM at UCLA
- 11 Scott Page - Wisdom of Crowds: Diverse Intelligences and Collective Predictions and Classifications
- 12 Scott Page - Diverse Intelligences and Problem Solving - IPAM at UCLA
- 13 Erica Cartmill - Basic Models of Animal Cognition, Pt. 2 of 3 - IPAM at UCLA
- 14 Erica Cartmill - Basic Models of Animal Cognition, Pt. 3 of 3 - IPAM at UCLA
- 15 Mayank Mehta - Neural mechanisms of intelligence, Pt. 3 of 3 - IPAM at UCLA
