The present invention concerns methods and apparatus for using a Quantum Zeno type effect to arrest the evolution or freeze a contextualization adopted by a subject in contextualizing an underlying proposition that typically revolves about an item. The subject is understood to be any sentient being, e.g., a human being that uses the known contextualization modulo the underlying proposition and also exhibits a known initial measurable indication in response to the underlying proposition. Measurable indications can take on the form of responses, actions, behaviors or any measurable aspects that can be collected from the subject in response to the underlying propositions. In the quantum representation as adopted herein, the matrix encoding the contextualization exhibited by the subject is a quantum mechanical operator and the initial measurable indication corresponds to one of its eigenvalues.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for freezing a contextualization of an underlying proposition, said method comprising: a) selecting by a mapping module a subject exhibiting an initial measurable indication in said contextualization; b) assigning by an assignment module a subject value matrix PRV used in said contextualization of said underlying proposition by said subject such that said initial measurable indication corresponds to an eigenvalue of said subject value matrix PRV; c) presenting to said subject from an inventory store a core item determined to freeze said subject in said contextualization; whereby said subject continues to exhibit at least one subsequent measurable indication equivalent to said initial measurable indication. 2. The computer implemented method of claim 1, further comprising the step of collecting with a network monitoring unit said initial measurable indication and said at least one subsequent measurable indication. 3. The computer implemented method of claim 1, further comprising: a) determining by a statistics module a decoherence time for said subject; and b) repeating said step of presenting said core item within a time shorter than said decoherence time. 4. The computer implemented method of claim 3, wherein said decoherence time is determined by said statistics module from a history of contextualizations of past underlying propositions analogous to said underlying proposition by said subject. 5. The computer implemented method of claim 3, wherein said decoherence time is determined by said statistics module from a history of contextualizations of past underlying propositions analogous to said underlying proposition by subjects that are like-minded in comparison with said subject. 6. The computer implemented method of claim 1, wherein said core item is selected from the group consisting of objects, subjects and experiences. 7. The computer implemented method of claim 6, further comprising the step of finding by said network monitoring unit of substitute items having essentially the same effect on said subject as said core item. 8. The computer implemented method of claim 1, further comprising assigning by said assignment module a quantum representation to said subject. 9. The computer implemented method of claim 8, wherein said quantum representation comprises a density matrix. 10. The computer implemented method of claim 8, wherein said quantum representation comprises a pure state. 11. A computer system for freezing a contextualization of an underlying proposition, said computer system comprising: a) a mapping module for selecting a subject exhibiting an initial measurable indication in said contextualization; b) an assignment module for assigning a subject value matrix PRV used in said contextualization of said underlying proposition by said subject such that said initial measurable indication corresponds to an eigenvalue of said subject value matrix PRV; c) an inventory store comprising a core item determined to freeze said subject in said contextualization; d) a means for presenting said core item to said subject; whereby said subject exhibits at least one subsequent measurable indication equivalent to said initial measurable indication. 12. The computer system of claim 11, further comprising a network monitoring unit for collecting said initial measurable indication and said at least one subsequent measurable indication. 13. The computer system of claim 11, further comprising a statistics module for determining a decoherence time for said subject and for inducing said means for presenting to repeat said presenting of said core item within a time shorter than said decoherence time. 14. The computer system of claim 11, wherein said means of presenting comprises a visual presentation unit. 15. The computer system of claim 11, wherein said core item is selected from any one or more members of the group consisting of subjects, objects and messages. 16. The computer system of claim 11 further comprising a network and wherein said subject is presented with said core item within said network. 17. The computer system of claim 16, wherein said network is selected from the group consisting of the Internet, the World Wide Web, a Wide Area Network (WAN) and a Local Area Network (LAN). 18. The computer system of claim 16, wherein said subject is a member of a social group. 19. The computer system of claim 18, wherein said social group is selected from any one or more of the group of social networks consisting of Facebook, Linkedln, Google+, MySpace, Instagram, Tumblr, YouTube. 20. The computer system of claim 18, wherein said social group manifests an affiliation with one or more product sites selected from the group consisting of Amazon.com, Walmart.com, bestbuy.com, Groupon.com, Netflix.com, iTunes, Pandora and Spotify.