Jodi Schwarz
Papers
1
Total Citations
4
H-Index
1
About
Jodi Schwarz is a researcher whose work explores the intersection of evolutionary robotics, neural network design, and the principles of modularity and sparsity. Her key research areas include the evolution of neural network controllers for physically embodied robots, with a particular focus on understanding how complex, modular systems emerge from simpler, integrated beginnings. Schwarz’s major contribution lies in investigating the mechanisms that drive the bootstrapping of modularity in evolved systems, challenging assumptions about how evolvability and complexity arise. Her most-cited paper, "Modularity and Sparsity: Evolution of Neural Net Controllers in Physically Embodied Robots" (2016, 4 citations), builds on foundational work by Clune et al. (2013) to examine the correlation between sparsity and modularity in evolved neural networks. While her citation count is modest, her work is notable for its theoretical depth and its relevance to fields like artificial life, evolutionary computation, and robotics. Schwarz’s research offers valuable insights for students and researchers interested in the fundamental principles of how intelligent, adaptive systems can self-organize, making her a thoughtful contributor to the ongoing dialogue on the evolution of complexity.
Research Focus
Key Achievements
Top Papers
- 1