2020 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)

August 22-29, 2020
Virtual Conference
hosted by the University of Victoria, British Columbia, Canada

Photo Credit: Welcome to Victoria BC by LASZLO ILYES / CC-BY-2.0


Learning, Reasoning, and Fusion in Human-Machine Teams

Time: Tuesday, August 25, 8:00-9:00 EDT

Prof. Edward Waltz
Professor of Practice (Intelligence), Center for MultiINT Studies, Naval Postgraduate School, Monterey, CA, USA

Edward Waltz

Bio: Edward Waltz is Professor of Practice (Intelligence) in the Center for MultiINT Studies at the Naval Postgraduate School (NPS) where he lectures and conducts research into intelligence processing from multiple intelligence sources. Prior to this position, he was Division Chief at the Advanced Concepts National Reconnaissance Office and Distinguished Member of the Technical Staff at Virginia Tech. He also held senior positions with BAE Systems Advanced Information Technologies (Chief Scientist), General Dynamics, and Veridian (Technical Director, Senior Scientist) where he was developing and deploying signal processing, data fusion and intelligence analysis capabilities. Mr. Waltz also led numerous hard target Multi-INT studies and tool developments for different agencies. He has given over 45 international lectures on intelligence and was a regular invited lecturer at the National Intelligence University on Advanced Analytics. Mr. Waltz is a recipient of the National Intelligence Unit Meritorious Citation and the DoD Joe Mignona Data Fusion Award. He is also the author of numerous books: Quantitative Intelligence Analysis, Knowledge Management in the Intelligence Enterprise, Information Warfare Principles and Operations and the coauthor of Counterdeception Principles and Applications for National Security and Multisensor Data Fusion.

Dawn of the Multi-Species Systems: Human Performance Engineering in the Age of AI

Time: Monday, August 24, 10:10-11:10 EDT

Daniel Serfaty
Founder & CEO, Aptima, Inc.

We are entering an age whereby the combination of human and machine intelligences is driving us to think beyond the classical paradigm of human-machine interaction design and into one of engineering a teaming or fusion between these capabilities. Human performance engineering is the collection of scientific and design methods that apply deep expertise in how humans think, learn, and behave to the goal of optimizing system performance and mission readiness. The insertion of advanced AI capabilities in those systems is a game changer, as it introduces system elements that learn, adapt, and change continuously as a result of reasoning about the observations it collects about the work environment and human behavior. Insuring that these hybrid systems behave within the performance envelop they have been designed for is a key challenge for the system designer. Using examples from the real world and ongoing research projects, we will highlight some key trends in human performance engineering and illustrate how the future of work, in domains ranging from training and education to manufacturing, defense, aviation, and medicine, will be highly dependent on our ability to thoughtfully engineer these new and autonomous human-AI "multi-species" systems.

Daniel Serfaty

Bio: Daniel is Aptima's Principal Founder, establishing and implementing a vision for Aptima as the premier Human-Centered Engineering business in the world. Mr. Serfaty's current work involves the technical leadership and coordination of inter-disciplinary projects for government agencies and private industries, in conjunction with several academic, industrial, and government teams. These efforts investigate factors that drive organizational performance, expertise development, and human-systems integration in large-scale, technology-rich socio-technical systems.

Prior to founding Aptima in 1995, Daniel was engineering group leader and program manager at Alphatech (now BAE Systems), where he coordinated projects in the decision-making, training, and human engineering areas.

For the last 25 years, Daniel's research interests have included the application of rigorous modeling and experimental methods to improve decision-making performance, develop expertise in field settings, and apply systems engineering methods to the design of large-scale organizations. In addition to his technical pursuits, his many industry activities include participating in various technology leadership forums and serving on the board of directors for small technology businesses.

Daniel's academic background includes undergraduate degrees in Mathematics/Physics, Psychology, and Aeronautical Engineering from the Université de Paris and the Technion, Israel Institute of Technology, an MS in Aeronautical Engineering (Technion), and a M.B.A. in International Management from the University of Connecticut. His doctoral work at the University of Connecticut pioneered a systematic approach to the analysis of distributed decision-making in dynamic and uncertain environments.

The Artful Mind, Machines, Codes and the Wonder of It All

Dr. Bob Deutsch
Founder & President, Brain-Sells, USA

Bio: Dr. Bob Deutsch is a cognitive neuroscientist (Ph.D., Albert Einstein College of Medicine) and was a professor of psychiatry and cultural anthropology (Rutgers University), who is founder of the consulting practice, Brain-Sells.(www.brain-sells.com). Bob has worked in primitive tribal societies, in the strategy rooms along Pennsylvania Avenue (both as a State Dept. Foreign Service Officer and a consultant) and in the business war rooms on Madison Ave. His focus has been on understanding how real people, living real lives, on-the-ground, real-time, experience their everyday life, and how they use that self-narrative to propel their attachments to and decisions about products, persons and ideas. Bob's work has been applied to business, politics, education, entertainment and technology.

Why Attempts to Create AI Systems that Can Engage with Humans in Dialogue so Often Fail

Time: Thursday, August 27, 8:00-9:00 EDT

Prof. Barry Smith
SUNY Distinguished Professor of Philosophy in the University at Buffalo, NY, USA

Prof. Barry Smith

Bio: Barry Smith is a prominent contributor to both theoretical and applied research in ontology. He is SUNY Distinguished Professor of Philosophy in the University at Buffalo, with joint appointments in the Departments of Biomedical Informatics, Neurology, and Computer Science and Engineering. Smith is the author of some 300 peer-reviewed publications, with over 33,000 citations. His research has been funded by the National Institutes of Health, the US, Swiss and Austrian National Science Foundations, the Volkswagen Foundation, the European Union, and the US Department of Defense. Smith is the creator of Basic Formal Ontology (BFO), the most commonly adopted upper-level ontology development framework and recently approved to become international standard ISO/IEC:21838-2. His work led also to the formation of the OBO (Open Biomedical Ontologies) Foundry, a suite of interoperable ontology modules designed to support information-driven research in biology and biomedicine. The methodology underlying BFO and the OBO Foundry is being applied in a range of different domains, including military intelligence, space situational awareness, digital manufacturing, and model-based systems engineering.


Apr 10: Responding to the COVID-19 pandemic, CogSIMA 2020 will be held as a completely Virtual Conference.

June 26: Keynote schedule updated.
June 24: Tutorial schedule updated.
June 11: Dr. Alicia Ruvinsky, Dr. Cody Salter and Mr. Trent May (USACE ERDC) will instruct a tutorial on Human-AI Teaming.
June 8: We are pleased to announce that Daniel Serfaty (Founder & CEO Aptima, Inc.) will present a keynote address on Human Performance Engineering in the Age of AI.
June 8: CogSIMA 10th Anniverary Panel (Aug. 27) announced.
June 8: Tentative program of the main conference available.
May 25: Tutorial program updated.
May 23: Program update: Tutorials are scheduled for August 22-23, Workshops for August 28-29.

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