AGI-16 Pei Wang - Different Conceptions of Learning: Function Approximation vs. Self-Organization
Pei Wang presents his talk “Different Conceptions of Learning: Function Approximation vs. Self-Organization“ at the Ninth Conference on Artificial General Intelligence (AGI-16) in New York ().
Paper authors: Pei Wang and Xiang Li
Abstract:
This paper compares two understandings of “learning” in the context of AGI research: algorithmic learning that approximates an input/output function according to given instances, and inferential learning that organizes various aspects of the sys
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AGI-16 Pei Wang - Different Conceptions of Learning: Function Approximation vs. Self-Organization