Neuenschwander D.E.,Southern Nazarene University
American Journal of Physics | Year: 2014
This Resource Letter provides a guide to the literature, suitable for use in the undergraduate physics curriculum, on Noether's Theorem, which relates conservation laws to symmetries. © 2014 American Association of Physics Teachers.
Eskridge B.E.,Southern Nazarene University |
Eskridge B.E.,University of Oklahoma |
Hougen D.F.,University of Oklahoma
Robotics and Autonomous Systems | Year: 2010
We propose an extended version of adaptive fuzzy behavior hierarchies, termed Multiple Composite Levels (MCL), that allows for the proper modulation of composite behaviors over multiple levels of a behavior hierarchy, and demonstrate its effectiveness for a hybrid learning/reactive control system. Controllers using adaptive fuzzy behavior hierarchies have previously been shown to provide effective control for robots tasked with multiple concurrent tasks. However, when more complex hierarchies are used to provide control for tasks of increasing complexity, low-level reactive behaviors may not be properly weighted, resulting in sub-optimal control. Through experimental evaluation in which composite behaviors that coordinate lower behaviors are learned using reinforcement learning, we demonstrate that MCL provides effective control in a complex multi-agent task, whereas the original implementation of adaptive fuzzy behavior hierarchies does not. © 2010 Elsevier B.V. All rights reserved.
Crofford J.,Southern Nazarene University
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication | Year: 2010
A method for identifying values for a genetic algorithm's probability of crossover, mutation rate, and selection pressure that promote the evolution of better results in fewer generations has recently been proposed. This approach, termed the Triple Parameter Hypothesis (TPH), derives these values from schema theory. However, the experiments previously used to test the hypothesis used schema distances that were the extreme ends of the spectrum. In the work presented here, we evaluate the parameters predicted by the hypothesis in a series of maintenance scheduling experiments which use schema distances in between these extremes. Results show that evolutionary runs which use parameters that satisfy the hypothesis statistically significantly outperform runs that use parameters that do not satisfy the hypothesis. © 2010 ACM.
Neuenschwander D.E.,Southern Nazarene University
International Journal of Modern Physics A | Year: 2014
For twenty years the students in my Science, Technology, and Society course, where we use Disturbing the Universe as a textbook, have corresponded with Professor Dyson. That someone of Professor Dyson's standing consistently makes a priority of promptly answering the letters of undergraduate students from all academic majors, and does so with grace and kindness, insight and wisdom, offers a personal glimpse into his character and integrity. On behalf of my students, and as a way of publicly thanking Professor Dyson for participating in our course conversations, I am honored to share samples of our correspondence with him over the years, including student reflections on his involvement in their education. © 2014 World Scientific Publishing Company.
Agency: NSF | Branch: Standard Grant | Program: | Phase: | Award Amount: 159.55K | Year: 2011
The ability to use teams of robots in interesting, real-world tasks such as exploration, reconnaissance, and search and rescue depends on their ability to effectively cooperate in complex and dynamic environments. Observations from nature and personal experience show that leadership can have a significant positive impact in the coordination and performance of a team. However, current processes for selecting leaders in teams of robots are either unable to adapt to changes to team membership or require significant time and effort to do so. In contrast, research in the biological sciences has shown that systems with leaders that emerge by way of internal motivation, and not external communication, are able to adapt to changes in team membership in complex and dynamic environments. In these systems, leaders are thought of more as initiators of action rather than managers that direct other individuals.
In this project, the researchers will use these insights into biological systems to investigate the motivations and mechanisms that contribute to the emergence of not only a single leader, but to the emergence of a hierarchy of leaders in a team of robots. Potential motivations and mechanisms will be evaluated in simulations of common team-based robot tasks that require cooperation and coordination of the individual robots. An understanding of the emergence process will enable roboticists to use teams of robots in tasks for which their use is currently impractical. Furthermore, this project will also increase the body of knowledge in the life sciences by providing a theoretical foundation on which further biological experiments can be based. The combination of these contributions is transformative not only for the practical impact it will have on the ability to design multi-robot systems that benefit from improved coordination and cooperation, but also for its impact on our fundamental understanding of what facilitates the emergence of organized leadership structures.