Lan Ma
Quality adjustment and analysis of human resource prices in China: Based on a hedonic price model
PloS one
50 years ago bongard introduced 100 visual concept learning problems challenge artificial vision systems problems known bongard problems although well known cognitive science artificial intelligence little progress made toward building systems solve substantial subset system presented visual features extracted image processing translated symbolic visual vocabulary introduce formal language allows representing compositional visual concepts based vocabulary using language bayesian inference concepts induced examples provided problem find reasonable agreement concepts high posterior probability solutions formulated bongard subset 35 problems approach far solving bongard problems like humans considerably better previous approaches discuss issues encountered developing system continuing relevance understanding visual cognition instance contrary concept learning problems examples random bongard problems instead carefully chosen ensure concept induced found helpful take resulting pragmatic constraints account