BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH X-WR-TIMEZONE:America/New_York PRODID:-//Apple Inc.//iCal 3.0//EN CALSCALE:GREGORIAN X-WR-CALNAME:Park School X-APPLE-CALENDAR-COLOR:#222222 BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT SEQUENCE:711 DTSTART;TZID=America/New_York:20200206T130000 SUMMARY:Toward the Design of AI/Hybrid Design Teams DESCRIPTION:by Professor Jonathan Cagan, George Tallman & Florence Barrett Ladd Professor in Mechanical Engineering at Carnegie Mellon University Abstract Teams are assumed critical to engineering problem solving in general, and design in particular. This talk will first look at cognitive properties of humans designing in teams. Based on those properties an agent-based algorithm is created that emulates human team problem solving strategies. This algorithm then allows for much faster problem solving than with humans and enables a computational approach to designing human teams with optimal properties. In some cases, the best team configuration is…surprising. The talk then argues why AIs could provide input guidance to teams to overcome their limitations and, potentially, result in superior performance. One example is a unique deep learning-based AI that begins with, and goes beyond, human data. Another uses hidden Markov models to derive human strategies. Although complete AI/Human hybrid design teams are still to come, initial results using the AIs illustrate the promise. Biography Jonathan Cagan is the George Tallman and Florence Barrett Ladd Professor in Mechanical Engineering at Carnegie Mellon University. His career spans collaborative and innovative work in education, research, and industry. Cagan researches engineering design automation and methods, merging AI, machine learning and optimization methods with cognitive science problem solving. One focal area is the cognitive basis and computational modeling of designer processes to improve the effectiveness of human designers as individuals and in teams. Another area includes computational methods for the design and diagnosis of biomechanical systems. An additional focus is in user-centered design and integrated product development practice. He actively collaborates across disciplines, having worked with engineers, psychologists, neuroscientists, marketers, designers, computer scientists and architects. At Carnegie Mellon, Cagan co-founded and co-directed the Integrated Innovation Institute and recently served as Interim Dean of the College of Engineering. Cagan was honored with the Robert A. Doherty Award for Sustained Contributions to Excellence in Education at CMU. Cagan is a Fellow in the American Society of Mechanical Engineers and was awarded with both the ASME Design Theory and Methodology and ASME Design Automation Awards. He has authored several books, over 250 publications, and is an inventor on multiple patents. DTEND;TZID=America/New_York:20200206T140000 END:VEVENT END:VCALENDAR