Symbiotic Cognitive Computing

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 t...

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Bibliographic Details
Published in:The AI magazine 2016-09, Vol.37 (3), p.81-93
Main Authors: Farrell, Robert, Lenchner, Jonathan, Kephart, Jeffrey, Webb, Alan, Muller, Michael, Erickson, Thomas, Melville, David, Bellamy, Rachel, Gruen, Daniel, Connell, Jonathan, Soroker, Danny, Aaron, Andy, Trewin, Shari, Ashoori, Maryam, Ellis, Jason, Gaucher, Brian, Gil, Dario
Format: Article
Language:English
Subjects:
Artificial intelligence
Cognition & reasoning
Collaboration
Computation
Cooperation
Decision making
Engineering research
Intelligence
Intelligent agents
Intelligent systems
Meetings
Modularity
Natural language
Principles
Product design
Software
Symbiosis
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Summary: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.
ISSN:0738-4602
2371-9621
DOI:10.1609/aimag.v37i3.2628