Titlebook: Logic Programming and Nonmonotonic Reasoning; 7th International Co Vladimir Lifschitz,Ilkka Niemelä Conference proceedings 2004 Springer-Ve

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Semantics for Dynamic Logic Programming: A Principle-Based Approachtics naturally raises the question of which are most adequate to model updates. A systematic approach to face this question is to identify general principles against which such semantics could be evaluated. In this paper we motivate and introduce a new such principle – the . – which is complied with

Initiative

Answer Sets: From Constraint Programming Towards Qualitative Optimizationew: problems are represented such that stable models, respectively answer sets, rather than theorems correspond to solutions. This shift in perspective proved extremely fruitful in many areas. We believe that going one step further from a “hard” to a “soft” constraint programming paradigm, or, in ot

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Reasoning About Actions and Change in Answer Set ProgrammingProgramming paradigm. It investigates how increasing the expressiveness of a RAC formalism so that it can capture the three major problems of frame, ramification and qualification, affects its computational complexity, and how a solution to these problems can be implemented within Answer Set Program

Dissonance

Almost Definite Causal Theoriesions. For causal theories of a special kind, called definite, a simple translation into the language of logic programs under the answer set semantics is available. In this paper we define a similar translation for causal theories of a more general form, called almost definite. Such theories can be u

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Towards Automated Integration of Guess and Check Programs in Answer Set Programming“guess and check” nature of NP problems: The property is encoded in a way such that polynomial size certificates for it correspond to stable models of a program. However, the problem-solving capacity of full disjunctive logic programs (DLPs) is beyond NP at the second level of the polynomial hierarc

HILAR

prosthesis

Graphs and Colorings for Answer Set Programming: Abridged Reporterization of answer sets in terms of totally colored dependency graphs. To a turn, we develop a series of operational characterizations of answer sets in terms of operators on partial colorings. In analogy to the notion of a derivation in proof theory, our operational characterizations are expressed