From Santa Fe Institute Events Wiki
I am currently a Computer Science Ph.D. student at the University of Central Florida. My main research interests are cooperative multi-agent systems and evolutionary computation, and I'd like to use a complex systems' approach to studying both of them. I also enjoy programming competitions such as TopCoder and ACM's ICPC, but have had little time to do either in the past couple years. I look forward to meeting everyone and seeing the diversity of research in Santa Fe.
Answers to Daniel Rockmore's questions:
- What are your main interests?
- My main research interests are in distributed Artificial Intelligence; specifically, cooperative multi-agent systems. Along with trying to get groups of agents to work together to solve tasks, I am also interested in modeling and understanding both natural and man-made multi-agent systems with abstract computer simulations. Aside from computer science research, I enjoy reading about general science, especially theoretical physics and evolutionary theory.
- What sorts of expertise can you bring to the group?
- Over the past decade or so, I have written many multi-agent programs such as cellular automata and systems containing many agents coordinating their actions. I usually use the MASON simulation framework. I also have a pretty good knowledge of genetic algorithms and neuroevolution (evolving artificial neural networks).
- What do you hope to get out of the CSSS?
- To understand multi-agent systems better, I need to understand the theory behind complex systems, emergence, and self-organization. I look to gain a better mathematical understanding of these concepts from the CSSS. Besides these technical goals, I look forward to meeting fellow graduate researchers to see the current research that is being done with regards to complex systems.
- Do you have any possible projects in mind for the CSSS?
- Currently, it is difficult to evolve behaviors for a team of agents because it is difficult to quantify teamwork. How do we know that what an agent did at time X led to the team completing the goal at time Y? It would be interesting to see if there is a way to analyze the evolved behaviors of an agent in order to determine what the role of that agent is in a team. I wonder if the work done in Cosma Rohilla Shalizi's PhD thesis on causal architectures and statistical complexity can be used to address these issues.