Self-Replication in Neural Networks

Gabor, Thomas; Illium, Steffen; Mattausch, Andy; Belzner, Lenz and Linnhoff-Popien, Claudia (2019): Self-Replication in Neural Networks. In: Alife 2019: the 2019 Conference on Artificial Life: pp. 424-431

Abstract

The foundation of biological structures is self-replication. Neural networks are the prime structure used for the emergent construction of complex behavior in computers. We analyze how various network types lend themselves to self-replication. We argue that backpropagation is the natural way to navigate the space of network weights and show how it allows non-trivial self-replicators to arise naturally. We then extend the setting to construct an artificial chemistry environment of several neural networks.

• Item Type: Journal article
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• Language: English