George Mason University




Info-Gaps and Strategic Planning: Theory and Applications


Yakov Ben-Haim


Yitzhak Moda'i Chair in Technology and Economics

Technion - Israel Institute of Technology


February 9, 2011 (Wednesday), 2.00 - 3.00 PM


Nguyen Engineering Building, Room 3507


Abstract. Info-gap theory is a method for analysis, planning, decision and design under uncertainty. The future may differ from the past, so our models may err in ways we cannot know. Our data may lack evidence about surprises: catastrophes or windfalls. Our scientific and technical understanding may be incomplete. These are info-gaps: incomplete understanding of the system being managed. Info-gap theory provides decision-support tools for modeling and managing severe uncertainty. After discussing the differences between info-gap and probabilistic uncertainty, we review a wide range of applications of info-gap decision theory. We then address in somewhat more depth applications to model-based predictions and to system selection with limited information.


Bio. Prof. Yakov Ben-Haim initiated and developed info-gap decision theory for modeling and managing severe uncertainty. Info-gap theory is applied in engineering, biological conservation, economics, project management, climate change management, homeland security, medicine, and other areas. He has been a visiting scholar in Australia, Canada, England, France, Germany, Italy , Japan, Korea, Netherlands, Norway, and the US. He has lectured at universities, medical and technological research institutions and central banks around the world. He has published more than 80 articles and 5 books. He is a professor of mechanical engineering and holds the Yitzhak Moda'i Chair in Technology and Economics at the Technion - Israel Institute of Technology.


Seminar credit to ECE graduate students