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Tuesday, February 4, 2020 | History

2 edition of NonMarkovian control in dynamical systems and planning. found in the catalog.

NonMarkovian control in dynamical systems and planning.

Alfredo GabaldГіn Royval

NonMarkovian control in dynamical systems and planning.

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  • 37 Currently reading

Published .
Written in English


About the Edition

Building on Reiter"s situation calculus Basic Action Theories, we consider generalizations that allow more flexible reasoning about the evolution of a dynamical system. First, we introduce nonMarkovian basic action theories, which generalize Reiter"s action theories by allowing the axiomatization of a nonMarkovian system. By a nonMarkovian system we mean a system whose dynamics are such that the effects of actions on fluents and the preconditions of the actions are not necessarily fully determined by the current state of the system, but may also depend on the full system history. Furthermore, we generalize Reiter"s regression operator, the main reasoning mechanism associated with Basic Action Theories, so that it can be utilized with nonMarkovian theories and, in general, with a class of situation calculus formulas that allow quantification over situation variables under some restrictions. Second, we introduce an operator for transforming nonMarkovian theories into Markovian basic action theories, which allows taking advantage of previous theoretical and implementation results applicable to formalisms that make the Markov assumption or that are inherently Markovian, such as state-based approaches. Third, we present two simple solutions to the qualification problem in presence of dynamic constraints: one resulting in a nonMarkovian action theory, and another one in a Markovian theory obtained by applying our transformation. Finally, we consider the problem of planning with declarative search control in the style of the TLPlan system. We introduce a procedure for obtaining precondition control from linear temporal logic search control formulas and prove that the preconditions obtained through this procedure prune a plan prefix if and only if the TLPlan system"s progression algorithm eliminates the plan prefix. This procedure together with our transformation from nonMarkovian to Markovian theories provide a mechanism for computing precondition control, i.e., for compiling declarative search control into action preconditions.

The Physical Object
Pagination214 leaves.
Number of Pages214
ID Numbers
Open LibraryOL19475308M
ISBN 100494026081

Average [? Keywords: Lyapunov coefficient, Cipher block chaining, mode of operation, Topological study. I will illustrate this thought in many real life examples. Perturbed Liapunov function methods are developed for stability studies of nonMarkovian problems and for the study of asymptotic distributions of non-Markovian systems.

Criteria In order to qualify for admission, applicants are expected to present strong academic records and show superior accomplishment in their engineering courses. Organic Crop Production. Raaaspaud and X. The Danish born mathematician Olaus Henrici — studied in Heidelberg and Berlin before making his career in London, first at University College and then, fromat the newly formed Central Technical College where he established a Laboratory of Mechanics. Consult the department office for further information.

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NonMarkovian control in dynamical systems and planning. book

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Abstracts

ZER10D2 Leo Budin ALGORITHMS IN CONTROL SYSTEMS 8.