Titlebook: Quantifying Consciousness; An Empirical Approac Ronald J. Pekala Book 1991 Springer Science+Business Media New York 1991 assessment.attenti

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Graphing Devices for the Retrospective Phenomenological Assessment Instrumentsar instruments and their use with the graphing devices discussed below. (To simplify the following discussion, the different graphing devices will only be discussed in terms of the PCI. The Dimensions of Attention Questionnaire (DAQ) could just as easily been used to illustrate most of what will be discussed in terms of the PCI.)

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Using the PCI to Investigate Trait-State Aspects of Hypnosis and Several Stress Management Conditionigh susceptible subjects, this might help to provide evidence concerning the trait-state controversy in hypnosis. This controversy concerns the extent to which “hypnotic responsiveness is more a matter of the characteristics of the subject than of the state produced by the hypnotic induction” (Hilgard, 1975, p. 20).

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Ronald J. Pekala Ph.D.ics, arti?cial intelligence, among others. Applications of dynamic programming have increased as recent advances have been made in areas such as neural networks, data mining, soft computing, and other areas of com- tational intelligence. The value of dynamic programming formulations and means to obt

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Ronald J. Pekala Ph.D. been applied to numerous areas in mat- matics, science, engineering, business, medicine, information systems, b- mathematics, arti?cial intelligence, among others. Applications of dynamic programming have increased as recent advances have been made in areas such as neural networks, data mining, sof

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Ronald J. Pekala Ph.D. been applied to numerous areas in mat- matics, science, engineering, business, medicine, information systems, b- mathematics, arti?cial intelligence, among others. Applications of dynamic programming have increased as recent advances have been made in areas such as neural networks, data mining, sof

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been applied to numerous areas in mat- matics, science, engineering, business, medicine, information systems, b- mathematics, arti?cial intelligence, among others. Applications of dynamic programming have increased as recent advances have been made in areas such as neural networks, data mining, sof

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