Titlebook: Answer Set Solving in Practice; Martin Gebser,Roland Kaminski,Torsten Schaub Book 2013 Springer Nature Switzerland AG 2013

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Deskriptive und explorative Statistik,ASP. In particular, it allows us to implement inferences in ASP as unit propagation on nogoods and thus to take advantage of advanced Boolean constraint technology. To begin with, let us consider the two most popular algorithmic schemes in Boolean Constraint Solving.

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Deskriptive und explorative Statistik,te on the ASP grounder . and the ASP solver . in the first two sections. While . can be regarded as a realization of the (simplistic) grounding algorithms presented in Chapter 4, . follows the approach to conflict-driven ASP solving described in Chapter 6. Both constitute central components of ., th

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https://doi.org/10.1007/978-3-642-00471-1y to understand, crafting an ASP encoding that also leads to the best possible system performance is not yet as obvious as it might seem. This is why ASP modeling is an active and interesting area of current research. To illustrate this, let us begin by conducting an initial case study dealing with

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Zufallsvariablen und ihre Eigenschaften,Answer Set Programming has made tremendous progress since the turn of the millennium.

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Basic modeling,lasses and instances are encoded as logic programs. Then, we stepwisely develop a solution to the .-queens problem for illustrating ASP’s modeling methodology along with the workflow underlying ASP’s solving process. Finally, we deal with the traveling salesperson problem in order to provide some interesting modeling and solving details.

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