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George Mobus, Ph.D.

Professor Emeritus
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Schedule Days
By appointment
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Ph. D.
Computer Science
University of North Texas
Information Systems and Management Science
San Diego State University
University of Washington


Historically my interests have been focused on real-time, online, lifetime learning algorithms for autonomous agents in dynamic, non-stationary environments (see below).

The organizing theme of my scholarly interest is general systems science, of which computer science is a convenient subset. The range of systems I have been researching include energy systems and economics (biophysical economics), hierarchical control architectures such as the human brain, adaptive systems (learning), evolution of organization, and global challenges such as climate change, population, and resource depletion. All of these can be analyzed as general systems.  I, along with co-author Michael Kalton, have written an introductory textbook, Principles of Systems Science (Springer), for undergraduate courses in the subject. The book is available for ordering at the link and is on bookshelves now.

My personal blog is Question Everything. The opinions and subjects I write about do not represent any position of the University of Washington or the Institute of Technology.

Current Research

Currently I have several related research projects underway. One involves emulation of natural intelligence by simulation of biological-like neurons and the development of a natural brain-like model deployed in an autonomous, adaptive agent (robot). The other is the development of a new systems modeling language that integrates agent-based and process-semantics system dynamics approaches. I am looking for CS and CE graduate and undergraduate students to work with on these projects.

Additional information on my research interests may be found here.

CV / Resume
Selected Publications

Mobus, G. E. (2015). “A Systems Science Framework for Understanding the Nature of Governance”, Proceedings of the 59th Annual Meeting of the International Society for Systems Science - 2015 Berlin, Germany, Vol 1, No 1 (2015). Available on-line:, accessed 5/01/16.

Mobus, G.E. & Kalton, M. (2014). Principles of Systems Science, Springer (Nov. 2014), New York.

Mobus, G.E. (2012). “The Evolution of Wisdom”, Science, Wisdom, and the Future: Humanity's Quest for a Flourishing Earth, Collins Foundation Press, Santa Margarita, CA. pp 83-89.

Mobus, G.E. (2012). “The Role of Money in a Biophysical Economy”, Fourth Annual Biophysical Economics Meeting, Burlington VT. Oct. October 26-28. Panel member.

Mobus, G.E. (2009). "Peak Energy, EROI, and the Economy: Modeling Contraction in the Flow of Net Energy and Its Impact on Economic Activity", The Second International Biophysical Economics Meeting, Oct. 2009, SUNY-ESF, Syracuse New York. PDF File

Mobus, G.E. (2008). “Money and Energy”, The First International Biophysical Economics Meeting, Oct. 2008, SUNY-ESF, Syracuse New York. PDF File

Mobus, G.E. (2012). “The Evolution of Wisdom”, 17ENCE, WISDOM, AND THE FUTURE: Humanity's Quest for a Flourishing Earth, Collins Foundation Press, Santa Margarita, CA. pp 83-89.

Mobus, G.E. (2010). Energy and the Economic Outlook: The Good, the Bad, and the Ugly, Invited talk, The Institute for the Future — Ten-year Forecast Retreat, April 26-27, 2010, Sausalito CA.

Mobus, G.E. & Kalton, M. (2014), Fundamentals of Systems Science, Springer, New York.