EECS500 Spring 2016 Department Colloquium

Dan Palmer
Blended Intelligence: Thinking Differently about Swarm Algorithms
John Carroll University
White 411
April 5, 2016

Humans can do some things really well. Swarm algorithms can do some things really well too. One aspect of Blended Intelligence looks at ways to combine the best components of each to yield better results than either can achieve separately. In this talk I will discuss two approaches to combining human cognition and swarm intelligence: high-level swarm directives, and leveraging social interactions to form consensus.


Daniel Palmer, Ph.D. is a professor of Computer Science at John Carroll University in Northeast Ohio. He researches swarm intelligence and conducts human swarms to observe emergent behavior.  Recently he co-hosted the Swarm/Human Blended Intelligence workshop.  He also co-directs the Swarm Lab, at John Carroll. In 2013, he was a visiting scientist at the Cleveland Clinic investigating collaborative diagnosis techniques.  He co-wrote a book on software engineering using extreme programming techniques after earning his doctorate at University of North Carolina at Chapel Hill.   His software development career began as a Data Processing Engineer with the National Aeronautics and Space Administration (NASA) at Goddard Spaceflight Center in Maryland.