Representing the Human to the Systems That They Use
Cohn, Joseph V. (Office of Naval Research) | O' (Office of Naval Research) | Neill, Elizabeth B.
The net result of this Because these approaches are not grounded in the core approach should be to either provide a viable alternative to processes that drive human action, the resultant outputs - classical artificial intelligence / machine learning (AI, ML) predictions of behavior, estimates of errors and the like - approaches or. Alternatively, to provide a more do not provide a robust basis for representing human users neurocognitively - inspired approach to developing these to the systems with which they are interacting.
Oct-7-2012
- Country:
- North America > United States (0.15)
- Industry:
- Health & Medicine
- Health Care Technology (0.71)
- Therapeutic Area > Neurology (0.51)
- Health & Medicine
- Technology: