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Some features that cognitive systems may express are:
;[[Adaptive system|Adaptive]]: They may learn as information changes, and as goals and requirements evolve. They may resolve ambiguity and tolerate unpredictability. They may be engineered to feed on dynamic data in real time, or near real time.<ref name="Ferrucci">{{cite journal |last1=Ferrucci |first1=David |last2=Brown |first2=Eric |last3=Chu-Carroll |first3=Jennifer |last4=Fan |first4=James |last5=Gondek |first5=David |last6=Kalyanpur |first6=Aditya A. |last7=Lally |first7=Adam |last8=Murdock |first8=J. William |last9=Nyberg |first9=Eric |last10=Prager |first10=John |last11=Schlaefer |first11=Nico |last12=Welty |first12=Chris |s2cid=1831060 |title=Building Watson: An Overview of the DeepQA Project |journal=AI Magazine |date=28 July 2010 |volume=31 |issue=3 |pages=59–79 |doi=10.1609/aimag.v31i3.2303 |url=
;[[Interactive]]: They may interact easily with users so that those users can define their needs comfortably. They may also interact with other processors, devices, and [[Cloud computing|cloud services]], as well as with people.
;Iterative and [[stateful]]: They may aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They may "remember" previous interactions in a process and return information that is suitable for the specific application at that point in time.
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