Action programming languages - download pdf or read online

By Michael Thielscher

ISBN-10: 1598295446

ISBN-13: 9781598295443

ISBN-10: 1598295454

ISBN-13: 9781598295450

Synthetic structures that imagine and behave intelligently are some of the most interesting and difficult targets of man-made Intelligence. motion Programming is the paintings and technological know-how of devising high-level keep an eye on suggestions for self sufficient structures which hire a psychological version in their atmosphere and which cause approximately their activities as a way to accomplish their targets. functions of this programming paradigm contain independent software program brokers, cellular robots with high-level reasoning services, and common online game taking part in. those lecture notes provide an in-depth advent to the present state of the art in motion programming. the most issues are desk of Contents: creation / Mathematical Preliminaries / Procedural motion courses / motion courses and making plans / Declarative motion courses / Reactive motion courses / advised extra examining

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The intuitive meaning is that, for a program δ and a situation s , executing one step of δ takes one from s to situation s , and program δ is what remains of program δ after this one step. This definition is accompanied by a predicate Final(δ, s ), with the intended meaning that δ can be considered completed in situation s. For the sake of simplicity, we again ignore the introduction of procedures and tacitly assume that a ConGOLOG program is just a main body. 10), where test and continuation are separated by the sequential operator “ ; ”, the new definition requires that the transition continues in the same situation s to which the test is applied.

EndProc; ... proc Interaction . . endProc; Interaction∗ || ( while ¬(∃ p, r 1 , r 2 ) Request( p, r 1 , r 2 ) do Idle endWhile; Control ) In this way, the interaction part runs asynchronously with, and outside of, the main control program. The program itself acts as a simulator, because it generates arbitrary, nondeterministic interactions. Of course the addition and cancellation of requests need to follow some rules, too. Specifically, a request can only be added for a package that has not already been requested or collected, and only those requests can be canceled that are actually present.

Sn , preference formulas can be evaluated against this sequence in much the same way as control rules are. For basic desire formulas, the temporal modalities (“next,” “always,” “eventually,” and “until”) are interpreted as usual, and the validity of the two special atoms is defined by r Si |= final( f ) if Holds( f, Sn ), and r Si |= occurs(a) if Si+1 = Do(a, Si ). Based on the evaluation of all basic desire formulas, a weight ω can be defined which indicates to what extent a plan violates the given preferences.

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Action programming languages by Michael Thielscher


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