Exploring the Relationship Between Topology and Function in Evolved Neural Networks

• Published in: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) pp. 2304 - 2311
• Main Authors: Showalter, Ian, Schwartz, Howard
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2020
• Subjects: Artificial Neural Network; Autonomous Vehicle; Biological neural networks; Complexity theory; Evolutionary computation; Games; Hebbian Learning; Lamarckian Inheritance; Multiobjective; Network topology; Neurocontrollers; Neuroevolution; Neuromodulation; Pursuit-Evasion; Topology; Unsupervised Learning

Understanding the relationship between structure and function in neural networks is essential to explaining their operation. Greater awareness of the link between topology and application could lead to wider adoption, particularly in mission-critical systems. Here, we examine and analyze the topolog...