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The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging approach to deep learning that integrates swarm intelligence and evolutionary computation with deep learning.
List of contents
1. AI: Past and Present 2. Evolutionary Theories for AI 3. Evolutionary Computation 4. Swarm Intelligence 5. Deep Learning and Evolution 6. Deep Swarms and Evolution 7. Emergence of Intelligence
About the author
Hitoshi Iba is a Professor at the Graduate School of Information Science and Technology at the University of Tokyo. From 1990 to 1998, he was a senior researcher at the Electro Technical Laboratory (ETL) in Ibaraki, Japan. He is a founding associate editor of the Journal of Genetic Programming and Evolvable Machines (GPEM) and was a founding associate editor of IEEE transactions on Evolutionary Computation. He has published more than one hundred papers and is also a (co-)author of more than ten books. He is also an underwater naturalist and experienced PADI divemaster having completed more than a thousand dives.
Summary
The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging approach to deep learning that integrates swarm intelligence and evolutionary computation with deep learning.
