Brent Eskridge, Ph.D.


Dr. Brent E. Eskridge is an Associate Professor in the department of Computer Science and Network Engineering at Southern Nazarene University. Brent received his Bachelor’s degree in Physics and Mathematics from Southern Nazarene University in 1995 and returned in 2004 as a faculty member. In 2009, he received his PhD in Computer Science from the University of Oklahoma with Dean F. Hougen of the Robotics, Evolution, Adaptation, and Learning Laboratory. Outside of academia, Brent has industry experience in the development of software in areas ranging from software-based device simulators to web applications.

Research Interests

Although a single robot is sufficient for many tasks and environments, there are some tasks and environments in which a team of robots is preferable or even necessary for success. While the benefits of multirobot systems (MRSs) are significant, so to are the challenges. One of the most significant challenges in making MRSs a practical reality is ensuring cooperation and coordination between robots, especially as the number of robots is scaled up. Dr. Eskridge’s research focuses on creating, using, and combining methods in artificial intelligence, machine learning, and computational intelligence to make MRSs a practical reality in dynamic, real-world environments where cooperation and coordination are essential. To date, his work has sought to achieve this goal by investigating: a) how to design multirobot systems to promote the emergence of cooperation and coordination, and b) how to design individual robots to manage the complexity inherent in tasks and environments requiring coordination. Dr. Eskridge primarily uses methods involving machine learning and computational intelligence in his research.

Selected Publications

  • Brent E. Eskridge, Elizabeth Valle, and Ingo Schlupp. “Emergence of Leadership within a Homogeneous Group.” PLoS One, Volume 10, Number 7, pages e0134222, 2015. (Paper)
  • Brent E. Eskridge and Dean F. Hougen. “Nurturing Promotes the Evolution of Learning in Uncertain Environments.” In Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pages 1–6, 2012. (Abstract)
  • Brent E. Eskridge. “Evolving a Follower in the Presence of a Potential Leader.” In International Conference on the Simulation and Synthesis of Living Things (ALife), pages 163–170, 2012. (Abstract)
  • Brent E. Eskridge. “Extrapolation of Regularity Using Indirect Encodings.” In IEEE Congress on Evolutionary Computation, pages 1280–1287, 2011. (Abstract)
  • Brent E. Eskridge and Dean F. Hougen. “Extending Adaptive Fuzzy Behavior Hierarchies to Multiple Levels of Composite Behaviors.” Robotics and Autonomous Systems, Volume 58, pages
    1076–1084, 2010. (Abstract)
  • Brent E. Eskridge and Dean F. Hougen. “Using State and Action Abstraction in Controllers for Concurrent, Interfering, Non-episodic Tasks.” In Autonomous Agents, I-Tech Education and Publishing, 2010. (Download)
  • John Crofford, Brent E. Eskridge and Dean F. Hougen. “Applying the Triple Parameter Hypothesis to Maintenance Scheduling.” In Genetic and Evolutionary Computation Conference, pages 799–806, 2010. (Abstract)
  • Brent Eskridge and Dwight Neuenschwander. “A Pedagogical Model of Primordial Helium Synthesis.” American Journal of Physics. Volume 64, Issue 12, pages 1517-1524, 1996. (Abstract)