2009
NeurIPS
NeurIPS 2009
Quantification and the language of thought
Abstract
Many researchers have suggested that the psychological complexity of a concept is related to the length of its representation in a language of thought. As yet, however, there are few concrete proposals about the nature of this language. This paper makes one such proposal: the language of thought allows first order quantification (quantification over objects) more readily than second-order quantification (quantification over features). To support this proposal we present behavioral results from a concept learning study inspired by the work of Shepard, Hovland and Jenkins."
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Interdisciplinary
📈
Trend Setter
- Computational Linguistics
🐣
Hot Topic Early Bird
- concept learning