Linguistic Geometry for Development of Intelligent Defense Systems
Prof. Boris Stilman
University of Colorado Denver, USA & STILMAN Advanced Strategies, USA
Linguistic Geometry (LG) is a type of game theory scalable to solving complex real world problems that are considered intractable by conventional approaches. Modern applications of LG, related to the US national defense, generate, in real time, courses of action that are highly creative and even exceed the level of those developed by human commanders. Currently, the U.S. Army is adopting the LG software to a wide spectrum of defense systems around the world. In my talk, I will introduce participants to several advanced applications of LG and to major experiments utilized those applications. I will also establish link between LG and legendary ancient battles of Alexander the Great and Hannibal. I will introduce the hypothesis that LG is one the ancient algorithms based directly on the Primary Language of the human brain (as suggested by J. von Neumann) crucial for development of human intelligence.
Dr. Stilman is currently Professor of Computer Science at the University of Colorado Denver (UC Denver), USA and the Chairman & CEO at STILMAN Advanced Strategies (STILMAN), USA.
Boris Stilman received MS in Mathematics from Moscow State University (MGU), USSR in 1972 and two Ph.Ds in Electrical Engineering and Computer Science from National Research Institute for Electrical Engineering (VNIIE), Moscow, USSR in 1984. In 1972-1988, in Moscow, he was involved in the research project PIONEER led by a former World Chess Champion Professor Mikhail Botvinnik. The goal of the project was to discover and formalize an approach utilized by the most advanced chess experts in solving chess problems almost without search. While program PIONEER had never played complete chess games, it solved a number of complex endgames and positions from the games of World Chess Champions. Based on these experiences over a number of years, in Moscow, Dr. Stilman developed experimental and mathematical foundations of the new approach to search problems in Artificial Intelligence. In 1990-91, while at McGill University, Montreal, Canada, based on this approach, he originated Linguistic Geometry (LG), a new theory for solving abstract board games. LG allows us to overcome combinatorial explosion by changing the paradigm from search to construction (from analysis to synthesis). Since 1991, Dr. Stilman was developing the theory and applications of LG at UC Denver. A leap in the development LG was made in 1999, when he (with a group of scientists and engineers) founded STILMAN, LLC. A growing number of applications of LG developed at STILMAN have passed
comprehensive testing and are currently transitioning to the real world command and control systems in the USA and abroad. Since 2010, Dr. Stilman was investigating the structure of the
Primary Language of the human brain (following J. von Neumann).
Dr. Stilman published several books (including “Linguistic Geometry: From Search to
Construction”), contributions to books, and over 200 research papers. He is a recipient of numerous R&D awards, including the top research awards at University of Colorado, substantial grants from the US government agencies such as major multiple awards from DARPA, US Dept. of Energy, US Army, US Navy, US Air Force, etc.; Ministry of Defence of UK; from the world leading defense companies such as Boeing (USA), Rockwell (USA), BAE Systems (UK), SELEX/Finmeccanica (ItalyUK) and Fujitsu (Japan). More information about Dr. Stilman, history of LG and projects (including several narrated movies) can be found at www.stilman-strategies.com.
Investigating brain oxygen delivery with aging
Prof. Frédéric Lesage
École Polytechnique de Montréal / Montreal Heart Institute, Canada
Prof. F. Lesage is a Canadian Research Chair in optical vascular imaging and leads a team of 17 researcher, post-doc and students working on optical biomedical imaging. His group has developed expertise in diffuse optical imaging, fluorescence imaging and microscopy both in humans and animal models of diseases. His main interest is to understand the impact of vascular changes, occurring with disease and aging, on the brain using novel optical imaging techniques. He is funded by CIHR, NSERC and FQRNT.
Towards the use of humanoid robots in disaster response scenarios
Dr. Rafael Cisneros
National Institute of Advanced Industrial Science and Technology (AIST), Japan
Disaster response is recently attracting attention from the robotics research community, and even more since the Fukushima Daiichi nuclear power plant accident that followed the 2011 Great East Japan earthquake and tsunami. As a concrete materialization of this increasing interest, a challenge was proposed by the American Defense Advanced Research Projects Agency (DARPA) of United States of America to use robots in disaster-hit facilities that were made too hazardous for direct human operator intervention. These human-made facilities and the required equipment were originally engineered to comply with the human morphology. Then, it turned to be a natural option to develop the necessary means to make the humanoid robots capable of performing inspection and disaster recovering actions inside of a non-structured environment. This talk will address the efforts being made by the National Institute of Advanced Industrial Science and Technology (AIST) of Japan for the research and development of a disaster-response humanoid robot, under the “R&D project on disaster-response robots” of the New Energy and Industrial Technology Development Organization (NEDO) of Japan. The aim of this project is to make this humanoid robot capable not only to perform the tasks proposed by the DARPA Robotics Challenge (DRC) and the Japan Virtual Robotics Challenge (JVRC), but also to respond to an emergency in a real disaster scenario.
Dr. Cisneros received the B.Eng. degree in Electronics and Computers Engineering from the University of the AmericasPuebla(UDLAP) in 2006,the M.Sc. degree in Automatic Control from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Mexico City in 2009 and the Ph.D. degree in Intelligent and Interaction Technologies from the University of Tsukuba, Japan in 2015. In 2008, he made a short research stay at the former Institute of Industrial Automation in Madrid (IAI), later recognized as the Centre for Automation and Robotics (CAR), Spain. From2009 to2011 he worked as a research assistant at the Department of Automatic Control of CINVESTAVIPN and as a part-time professor at La Salle University, Mexico City, where he taught robotics at bachelor’s and master’s level. Also, in 2009 and 2010 he participated in two RoboCup competitions. From April 2011 toMarch2015 he was a member of the CNRS-AIST JRL (Joint Robotics Laboratory), UMI3218/CRT at the National Institute of Advanced Industrial Science and Technology (AIST), Japan. Since April 2015 he has been working as a post-doctoral researcher at the Humanoid Research Group of AIST, participating as a member of the AIST-NEDO team in the DARPA Robotics Challenge and in the Japan Virtual Robotics Challenge.