- Provides theoretical and practical knowledge about swarm intelligence and evolutionary computation.
-
- Covers interdisciplinary research topics that encompass problem-solving tasks in AI and deep learning in an easy-to-understand manner.
-
- Describes a framework (i.e., deep neuroevolution and deep swarms) that integrates swarm intelligence and evolutionary computation with deep learning.
-
- Reviews researches in AI from the past to the present and considers the future progress of AI, based on the ideas of swarm intelligence and evolution.
-
- Shows how to learn practical tasks by neuroevolution with an AI educational software, MindRender.
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.
Title: Swarm Intelligence and Deep Evolution: Evolutionary Approach to Artificial Intelligence
Author: Iba, Hitoshi
ISBN: 9781032009155
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-04-14
Number of Pages: 278
Weight: 0.7902 kg
