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      Contextualizing concepts using a mathematical generalization of the quantum formalism

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          Abstract

          We outline the rationale and preliminary results of using the state context property (SCOP) formalism, originally developed as a generalization of quantum mechanics, to describe the contextual manner in which concepts are evoked, used and combined to generate meaning. The quantum formalism was developed to cope with problems arising in the description of (i) the measurement process, and (ii) the generation of new states with new properties when particles become entangled. Similar problems arising with concepts motivated the formal treatment introduced here. Concepts are viewed not as fixed representations, but entities existing in states of potentiality that require interaction with a context-a stimulus or another concept-to 'collapse' to an instantiated form (e.g. exemplar, prototype, or other possibly imaginary instance). The stimulus situation plays the role of the measurement in physics, acting as context that induces a change of the cognitive state from superposition state to collapsed state. The collapsed state is more likely to consist of a conjunction of concepts for associative than analytic thought because more stimulus or concept properties take part in the collapse. We provide two contextual measures of conceptual distance-one using collapse probabilities and the other weighted properties-and show how they can be applied to conjunctions using the pet fish problem.

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                Author and article information

                Journal
                29 October 2013
                2013-11-01
                Article
                1310.7682
                a9c78b23-60c8-4bfa-a508-02be8e96c6c9

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Journal of Experimental and Theoretical Artificial Intelligence, 14(4), 327-358
                31 pages. arXiv admin note: substantial text overlap with arXiv:quant-ph/0205161
                q-bio.NC cs.AI quant-ph

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