Open AccessSymbiotic Cognitive Computing
Author(s) -
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
Publication year - 2016
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v37i3.2628
Subject(s) - ibm , computer science , cognitive computing , adaptation (eye) , modularity (biology) , context (archaeology) , cognition , cognitive architecture , key (lock) , architecture , representation (politics) , human–computer interaction , cognitive science , software engineering , artificial intelligence , psychology , computer security , materials science , neuroscience , nanotechnology , paleontology , art , biology , politics , political science , law , visual arts , genetics
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.