Efficient creativity: constraint-guided conceptual combination
โ Scribed by Fintan J Costello; Mark T Keane
- Book ID
- 104332521
- Publisher
- Wiley (Blackwell Publishing)
- Year
- 2000
- Tongue
- English
- Weight
- 908 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0364-0213
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper describes a theory that explains both the creativity and the efficiency of people's conceptual combination. In the constraint theory, conceptual combination is controlled by three constraints of diagnosticity, plausibility, and informativeness. The constraints derive from the pragmatics of communication as applied to compound phrases. The creativity of combination arises because the constraints can be satisfied in many different ways. The constraint theory yields an algorithmic model of the efficiency of combination. The C 3 model admits the full creativity of combination and yet efficiently settles on the best interpretation for a given phrase. The constraint theory explains many empirical regularities in conceptual combination, and makes various empirically verified predictions. In computer simulations of compound phrase interpretation, the C 3 model has produced results in general agreement with people's responses to the same phrases.
๐ SIMILAR VOLUMES
Two experiments revealed that solving novel conceptual combination problems could enhance performance in a subsequent test of creativity. The evidence also showed that the beneficial effects of solving novel conceptual combination problems were mediated in part by the use of novel conceptual combina
Studies of combined forecasts have typically constrained the combining weights to sum to one and have not included a constant term in the combination. In a recent paper, Granger and Ramanathan (1984) have argued in favour of an unrestricted linear combination, including a constant term. This paper s
This note extends some recent results, achieved by Clemen, on constraining the weights of a combined forecast. There is a great potential for improving the ordinary least squares forecast by imposing linear restrictions, and it will be shown how this potential can be exhausted by using an F-test. Th