About Galen
Galen J. Wilkerson is a seasoned professional in complex systems and artificial intelligence. His career is marked by deep exploration into these fields and contributions to interdisciplinary knowledge and collaboration.
Projects
Explore Galen's projects, each demonstrating his expertise and innovation in AI and complex systems:
- LTM Logic: A project exploring Linear Threshold Models, demonstrating the dynamics of network cascades and Boolean logic functions in complex systems.
- Logic and Learning in Network Cascades: This project highlights the impact of shared knowledge and collective intelligence in AI and complex systems.
- Hopfield Networks: An in-depth analysis of Hopfield Networks, providing theoretical insights, practical implementations, and visualizations.
- Swarm-Induced Graph: Focusing on the interaction within robotic systems, demonstrating principles of collaboration and communication.
- Logistic Map and Chaos Exploration: A study into the orderly chaos of complex systems, emphasizing the mathematical beauty in AI.
- Random Boolean Networks: Investigating the simplicity and complexity of networked systems, akin to collaborative networks.
- Large Language Models: Exploring the significance of language and communication in AI.
Publications
Galen's publications reflect his extensive research and expertise:
- Spontaneous emergence of computation in network cascades. Scientific Reports, 2022.
- Logic and learning in network cascades. Network Science, 2021.
- Universal Boolean logic in cascading networks. Springer, 2019.
- Urban mobility scaling: Lessons from ‘little data’. IEEE, 2014.