This may then create a vertically heterogeneous semantic net for certain words in an otherwise homogeneous culture.
Various automated technologies are being developed to compute the meaning of words: latent semantic indexing and support vector machines as well as natural language processing, artificial neural networks and predicate calculus techniques.
For instance, depending on the context in which it is presented, an ambiguous stimulus '5' that can be read as either 'S' or '5' will have the color associated with either 'S' or '5'.
For example, the nouns corresponding to the listed 7 factors would be: Beauty, Power, Motion, Life, Work, Chaos, Law.
This OSS design meant to increase the sensitivity of the SD method to any semantic biases in responses of people within the same culture and educational background.
The work of Eleanor Rosch in the 1970s led to a view that natural categories are not characterizable in terms of necessary and sufficient conditions, but are graded (fuzzy at their boundaries) and inconsistent as to the status of their constituent members.
These categories evolve as learned concepts of the world – meaning is not an objective truth, but a subjective construct, learned from experience, and language arises out of the "grounding of our conceptual systems in shared embodiment and bodily experience".