Chris Rouly


Email address: orouly [at] gmu [dot] edu

Chris Rouly is a PhD candidate in Computational Social Science at George Mason University. His dissertation research involves the generation and study of complex cognitive, adaptive, and social agent environments in virtual worlds. He is interested in understanding the dynamics of small-group social behaviors in individuals, the resulting emergent social interactions, and how this knowledge may be useful to the field of anthropomorphic robotics.

As with most of the students in the GMU CSS PhD program, his undergraduate and graduate studies were broadly interdisciplinary. He holds separate undergraduate degrees in Psychology and Computer Science, and he has a graduate degree in Electrical Engineering. His Master's thesis examined a hypothesis involving an untethered, vehicular robot in an applied cybernetic robotics experiment. For that experiment, Chris instantiated a Turing P-Type Unorganized machine as an adaptive controller, embodied it within a mobile robot (an artificial rodent), situated it in an small training enclosure, and demonstrated that the P-Type algorithm was capable of self-organization (adaptive learning) as Turing himself had proposed.

Before becoming a full-time student within the GMU CSS department, Chris was a sub-contractor to the US Army and the Defense Advanced Research Projects Agency. He has worked as a systems engineer for Raytheon, a digital hardware designer for Honeywell and Synergy, and as a software engineer for Camber and Harmonia.


Rouly, O. C. (2015). At the root of sociality: Working towards emergent, permanent, social affines. In Andrews, P., Caves, L., Doursat, R., Hickinbotham, S., Polack, F., Stepney, S., Taylor, T. & Timmis, J. (Eds.). Proceedings of the European Conference on Artificial Life 2015. pp. 82-89, MIT Press. You can download the paper here.

Rouly, O. C. (2015). Alife using Adaptive, Autonomous and
Individual Agent Control. In Chalup, S., Blair, A. & Randall, M. (Eds.), Proceedings of the Australian Conference on Artificial Life and Computational Intelligence (ACALCI 2015). University of Newcastle ,Australia. You can download the executable code here. You can download the paper here.

Rouly, O. C. (2014, July). Midwife: CPU cluster load distribution of Virtual Agent AIs. In Barolli, L and Xhafa, F. (Eds.). Proceedings of the 8th International Conference on Complex, Intelligent, and Software Intensive Systems, Birmingham, UK. You can download the related source code here. You can download the paper here.

Rouly, O. C. & Kennedy, W. G. (2011). Sexually differentiated philopatry and dispersal: A demonstration of the Baldwin effect and genetic drift. Computational Social Science Society of America Annual Conference, 2011. Santa Fe, New Mexico, USA. October 9-12, 2011. You can download the paper here.

Rouly, O. C. & Crooks, A. (2010). A prototype, multi-agent system for the study of the Peopling of the Western Hemisphere. 3rd World Congress on Social Simulation, 2010. Kassel, Deutschland. 6th-9th September 2010. You can download the paper here.

Rouly, O. C. (2007, December). Learning automata and need-based drive reduction. In Ha, Q. P., & Kwok, N. M. (Eds.). Proceedings of the 8th International Conference on Intelligent Technologies, Sydney, Australia. You can download the paper here.

Rouly, O. C. (2004). A viewpoint on embodied synthetic agency. The intersection of cognitive science and robotics: From interfaces to intelligence. American Association for Artificial Intelligence. Fall Symposium 2004, 05, Arlington, Virgina. You can download the paper here.

Rouly, O. C. (2000). Cybernetic intelligence: A return to complex qualitative feedback theory. Las Cruces: New Mexico State University. Unpublished thesis.

Professional (and or student) Affiliations:

Institute of Electrical and Electronics Engineers
Association for the Advancement of Artificial Intelligence
American Psychological Association Affiliate

Research Gate Papers

Personal Website