Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1609/aimag.v37i3.2628 | AI MAGAZINE |
DocType | Volume | Issue |
Journal | 37 | 3 |
ISSN | Citations | PageRank |
0738-4602 | 7 | 0.95 |
References | Authors | |
0 | 17 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert G. Farrell | 1 | 16 | 1.92 |
| Jonathan Lenchner | 2 | 129 | 14.84 |
| Jeffrey O. Kephart | 3 | 2978 | 399.73 |
| Alan M. Webb | 4 | 7 | 0.95 |
| Michael J. Muller | 5 | 2310 | 303.58 |
| Thomas D. Erikson | 6 | 7 | 0.95 |
| David O. Melville | 7 | 7 | 0.95 |
| Rachel K. E. Bellamy | 8 | 323 | 70.86 |
| Daniel M. Gruen | 9 | 208 | 14.98 |
| Jonathan H. Connell | 10 | 712 | 60.10 |
| Danny Soroker | 11 | 7 | 0.95 |
| Andy Aaron | 12 | 7 | 0.95 |
| Shari Trewin | 13 | 647 | 77.36 |
| Maryam Ashoori | 14 | 7 | 0.95 |
| Jason B. Ellis | 15 | 328 | 60.40 |
| Brian P. Gaucher | 16 | 7 | 1.28 |
| Dario Gil | 17 | 7 | 0.95 |