Retreat 2001 Keynote Address-Summary

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Posted ByMaster Roshambollah on July 18, 2001 at 11:13:38:

In Reply to: RPS Summer Retreat 2001 posted byMaster Roshambollah on July 18, 2001 at 11:11:14:

'Panning for gold: what lessons has the search for Hagi Naktrah for modern RPSmetricians'

Summary

A thorough reconstruction of the study of strategic play in RPS (hereafter ÎRPSmetricsâ) is urgently needed and, indeed, long overdue. In no other branch of modern science would such a general lack of quantitative definiteness as still prevails in RPSmetrics be tolerated. The aim of the reconstruction must be to present the actual facts and problems of RPS strategic determination in the most distinct form and, as far as possible, in measurable terms. The search for the legendary unbeatable Hagi Naktrah (or ÎGolden Sequenceâ) provides RPSmetricians with the opportunity to relieve themselves of the oppressive burden of withered notations and barren dogmas, inherited from the highly theoretical and scholastic controversies of a past century, and face with youthful vigour and up-to-date scientific equipment the problems of their own age. Such developments are of great interest to the steadily growing circle of those who, in their lifeâs practical work, are confronted with strategic questions, decisions, and social relations of a more and more complex nature. What such people demand, and are entitled to demand, is a clear exposition of the elements of strategic play in RPS that can serve as a reliable basis for a profitable discussion of present-day strategic dilemmas. By exploring, as this monograph does, a framework for providing recursive solutions to optimal strategic questions in a Monte Carlo sampling regime, it is possible one day that the Hagi Naktrah may be optimally determined, or indeed that a whole set of conditionally optimal Naktrah may be developed and tested. In this way, the authors hope to contribute to a more general understanding of the fundamental and indissoluble connection between theory and practice, and the truth that there is, in the long run, nothing more practical than sound theory.

Simpson, July 2001.

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Comments:: 'Panning for gold: what lessons has the search for Hagi Naktrah for modern RPSmetricians' : Summary : A thorough reconstruction of the study of strategic play in RPS (hereafter ÎRPSmetricsâ) is urgently needed and, indeed, long overdue. In no other branch of modern science would such a general lack of quantitative definiteness as still prevails in RPSmetrics be tolerated. The aim of the reconstruction must be to present the actual facts and problems of RPS strategic determination in the most distinct form and, as far as possible, in measurable terms. The search for the legendary unbeatable Hagi Naktrah (or ÎGolden Sequenceâ) provides RPSmetricians with the opportunity to relieve themselves of the oppressive burden of withered notations and barren dogmas, inherited from the highly theoretical and scholastic controversies of a past century, and face with youthful vigour and up-to-date scientific equipment the problems of their own age. Such developments are of great interest to the steadily growing circle of those who, in their lifeâs practical work, are confronted with strategic questions, decisions, and social relations of a more and more complex nature. What such people demand, and are entitled to demand, is a clear exposition of the elements of strategic play in RPS that can serve as a reliable basis for a profitable discussion of present-day strategic dilemmas. By exploring, as this monograph does, a framework for providing recursive solutions to optimal strategic questions in a Monte Carlo sampling regime, it is possible one day that the Hagi Naktrah may be optimally determined, or indeed that a whole set of conditionally optimal Naktrah may be developed and tested. In this way, the authors hope to contribute to a more general understanding of the fundamental and indissoluble connection between theory and practice, and the truth that there is, in the long run, nothing more practical than sound theory. : Simpson, July 2001.

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