@inproceedings{rosenbloom_subsymbolic_2019,
	address = {Cambridge, MA},
	title = {({Sub}){Symbolic} × (a)symmetric × (non)combinatory: {A} map of {AI} approaches spanning symbolic/statistical to neural/{ML}},
	url = {https://drive.google.com/file/d/1Ynp75A048Mfuh7e3kf_V7hs5kFD7uHsT/view},
	abstract = {The traditional symbolic versus subsymbolic dichotomy can be decomposed into three more basic dichotomies, to yield a 3D (2×2×2) space in which symbolic/statistical and neural/ML approaches to intelligence appear in opposite corners. Filling in all eight resulting cells then yields a map that spans a number of standard AI approaches plus a few that may be less familiar. Based on this map, four hypotheses are articulated, explored, and evaluated concerning its relevance to both a deeper understanding of the field of AI as a whole and the general capabilities required in complete AI/cognitive systems.},
	booktitle = {Proceedings of the 7th {Annual} {Conference} on {Advances} in {Cognitive} {Systems}},
	publisher = {Cognitive Systems Foundation},
	author = {Rosenbloom, Paul S. and Joshi, Himanshu and Ustun, Volkan},
	month = dec,
	year = {2019},
	keywords = {UARC, Virtual Humans},
	pages = {113--131}
}