e.g. via PLN or via Hebbian learning of Schema Maps
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including machine learning and inference aimed at algorithmic manipulation
self-learning and adaptability. Autonomy
no particular knowledge type tends to dominate the learning
1998); and predicting defects in visual learning functions from
but since my 10 year old son Elon was then learning how to play chess
and definitely shouldn' t have been learning them first
experience and learning. When seriously analyzed
probabilistic evolutionary learning (which simulates evolution by natural
these communities are learning communities
the one of “representational learning” the machine uses a self-
1998); and predicting defects in visual learning functions from
paradox of learning, the best artificial intelligences will be unable to compete with the average human four-year-old. 158 HOUSE_OVERSIGHT_016378
8.5 The Cognitive Schematic 151 Map Toreanon Goal system Semnorimotr pattern Pecogmition Map tormanion ! Map formation may No significant Ao mignsicant cirecr ayrengy foe nding mapE. dine! ayrakgy rela wubpoule, “1 col i i iormied for ir We wierd fk : aero Concepis jon Senscai...
not its buildings.) As I am an advocate of learning by