Communications of the ACM
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Readings in Machine Learning
Evolutionary and embryogenic approaches to autonomic systems
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
A survey of evolutionary and embryogenic approaches to autonomic networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Learning is the most important part of artificial intelligence, and it has made vast strides. But we have far to go. A basic research effort ought to explore certain difficulties and problems in learning in AI. Learning is a large topic indeed, and we must always understand that how humans learn is not necessarily the best way for software to learn. The role of education is to enable and encourage learning, beyond what a human or software system can do by itself. We must explore how to build software that can learn and be educated. This article is part of a special issue on the Future of AI.