Rouly, Ovi Chris, Dr.

Dr. Ovi Chris Rouly

Computational Social Science 

CLU  C 6 

Clausiusstrasse 50

8092 Zürich

Switzerland

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Additional information

Curriculum Vitae

 

Biography:

 

Ovi Chris Rouly is a researcher and academician within ETH D-GESS. Currently, he works as a post-doctoral Lecturer where his responsibilities include teaching, research, and research grant preparation. He holds a PhD in Computational Social Science from George Mason University of Fairfax, Virginia [1]. In summary, his research involves the generation and study of small-group social behavior using the technologies of Artificial Life (ALife) [2]. In this work he creates computational systems (both software simulations and hardware robotics) that demonstrate apparent machine intelligence, autonomy of behavioral selection, and adaptive learning characteristics [8,9]. These systems have been adaptive [3], to some degree biologically explicit [1,2,5], and have inhabited various 2D and or 3D real and virtual environments. His current research is grounded in detailed, long-lived, compute-cluster based simulations [4] of mobile, foraging/breeding/birthing/dying individual-based agent cohorts designed to resemble hominid life from circa 4-2 million years ago. His goal is to demonstrate-then-study emergent small-group social behavior and its artifacts in latent Collective Intelligence.

 

He also holds two undergraduate and one graduate credential in broadly interdisciplinary fields. He has separate undergraduate degrees in Psychology and Computer Science, and he has a Masters degree in Electrical Engineering. While his Masters studies focused on high-speed hardware design and adaptive/soft-computing technologies, his thesis examined a hypothesis that utilized an untethered, vehicular robot in an applied cybernetic robotics experiment. For that research experiment he instantiated a Turing P-Type Unorganized machine as an adaptive controller, embodied it within a mobile robot (an artificial rodent), situated the artificial rodent in a small "Hull" training enclosure, and demonstrated that the P-Type algorithm was indeed capable of self-organization (adaptive learning) exactly as (Alan) Turing had proposed [3,7,9] in 1948.

 

Chris has served as a Science, Engineering, and Technical Advisor (SETA) to the US Army, the Defense Advanced Research Projects Agency (DARPA), and the Office of Naval Research (ONR). He has worked as a systems engineer for Raytheon, a digital hardware designer for Honeywell and Synergy, and as a software engineer with Camber and Harmonia.

 

(Selected) Conference Proceedings and Theses:

 

1. Rouly, O. C. (2015). Towards Emergent Social Complexity. Fairfax, Virginia: George Mason University. Unpublished Dissertation.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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, Virginia. You can download the paper here.

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

 

Affiliations:

 

Institute of Electrical and Electronics Engineers (IEEE)
Association for the Advancement of Artificial Intelligence (AAAI)
American Psychological Association Affiliate (APA)

 

Online References:

Researchgate Profile

Research Website

Personal Website

 

 

 
 
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