Symbiotic Cognitive Computing
Robert Farrell, Jonathan Lenchner, Jeffrey O. Kephart, Alan Webb, Michael J. Muller, Thomas D. Erickson, D. Melville, Rachel Bellamy, Daniel M. Gruen, Jonathan H. Connell, Danny Soroker, Andy Aaron, Shari M. Trewin, Maryam Ashoori, Jason B. Ellis, B. Gaucher, Darı́o Gil · AI Magazine · 2016
IBM Research is engaged in a research program in symbiotic cognitive computing to investigate how to embed cognitive computing in physical spaces. This article proposes five key principles of symbiotic cognitive computing: context, connection, representation, modularity, and adaptation, along with the requirements that flow from these principles. We describe how these principles are applied in a particular symbiotic cognitive computing environment and in an illustrative application for strategic decision making. Our results suggest that these principles and the associated software architecture provide a solid foundation for building applications where people and intelligent agents work together in a shared physical and computational environment. We conclude with a list of challenges that lie ahead.