Logic Programming and Nonmonotonic Reasoning: 13th by Francesco Calimeri, Giovambattista Ianni, Miroslaw

By Francesco Calimeri, Giovambattista Ianni, Miroslaw Truszczynski

This quantity includes the refereed complaints of the thirteenth foreign convention on common sense Programming and Nonmonotonic Reasoning, LPNMR 2015, held in September 2015 in Lexington, KY, united states. The 290long and eleven brief papers provided including three invited talks, the paper reporting at the solution Set Programming pageant, and 4 papers offered through LPNMR scholar attendees on the doctoral consortium have been rigorously reviewed and chosen from 60 submissions. LPNMR is a discussion board for replacing rules on declarative common sense programming, nonmonotonic reasoning, and information illustration. the purpose of the LPNMR meetings is to facilitate interactions among researchers drawn to the layout and implementation of logic-based programming languages and database platforms, and researchers who paintings within the components of data illustration and nonmonotonic reasoning.

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34 M. Abseher et al. 3 0 1 2 3 4 5 6 7 2 2 2 2 3 1 1 1 1 1 1 1 1 2 2 3 3 1 1 1 1 2 2 0 1 2 3 4 5 6 7 Fig. 1. 2 Traditionally, the objective function is a weighted sum of the three components (although this kind of aggregation is not mandatory with ASP). 3 Shift Design in ASP An instance like the one shown in Fig. 1 is specified by facts as in Fig. 2. Facts of the form time(S, T ) associate each slot S with a day time T . Our instance includes one day, divided into eight slots denoted by the times 0, .

Walsh, T. ) Handbook of Satisfiability, pp. 483–504. IOS Press, Amsterdam (2009) 22. : Answer set programming and plan generation. Artif. Intell. 138, 39–54 (2002) Algorithmic Decision Theory Meets Logic 19 23. : A logic programming approach to knowledge-state planning, II: the DLVk system. Artif. Intell. 144, 157–211 (2003) 24. : Multi-criteria optimization in answer set programming. In: Technical Communications of the 27th International Conference on Logic Programming, p. 1 (2011) 25. : Social choice theory in HOL: Arrow and Gibbard-Satterthwaite.

3. Rule (2) propagates the start of a shift to its L−1 successor slots, where the residual length is decreased down to 1 in the last slot of the shift. For shifts with longer residual length L, rule (3) closes the interval between 1 and L, thus overturning any choice rules for potential starts of shifts of shorter length. Moreover, this allows for pushing the J-th instance of a shift stretching to slot S to the position I+J when I instances of shifts longer than the residual length L are scheduled, as expressed by rule (4).

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