The event calculus in probabilistic logic programming with annotated disjunctions kevin mcareavey queens university belfast belfast, northern ireland kevin. This is free software, and you are welcome to redistribute it under certain conditions. Constraint answer set programming without grounding and its. Classical logic event calculus as answer set programming. We also provide an answer set programming style encoding method for reiters basic action theories, which tells us how the solution to the frame problem in answer set programming is related to. It uses the stable model semantics 4 and has attracted much attention due to its expressiveness, ability to incorporate nonmonotonicity, represent. Ive used trigonometry and linear algebra in 3d programming, but ive yet to find a way to use calculus im just wondering what the canonical programmers use for calculus is. Answer set solving in practice synthesis lectures on. Oct 08, 2019 event calculus ec is a family of formalisms that model commonsense reasoning. The university of texas at dallas, 2018 abstract supervising professor. The program smodels is an implementation of the stable model semantics for logic programs. Pdf reformulating the situation calculus and the event.
A comprehensive documentation of our software can be found in the potassco guide. See the gnu general public license v3 for more details. Event calculus answer set programming this is a prototype implementation and is no longer being updated. A further transformation into answer set programs allows us to use an answer set solver to perform propositional reasoning about the situation calculus. Calculus has been around for a lot longer than computers. We build on the previous encoding method of shanahan and witkowski, extending it to support causal constraints, concurrent. This may all seem obvious to you, but im looking at it from the other side and i dont simply know that calculus is useful.
Pdf a system for the use of answer set programming in. Potassco the potsdam answer set solving collection. It combines the highlevel modeling capacities of asp with stateoftheart techniques from. Differentiable programming has found use in a wide variety of areas, particularly scientific. Download discrete event calculus reasoner for free. The event calculus is a logical mechanism that infers whats true when given what happens when and what actions do. Youll need calculus concepts to understand papers, learn. Modeling and reasoning in event calculus using goaldirected constraint answer set programming springerlink. Compared to introductory classes in other technical field, the amount of memorization in calculus is trivial. Calculus has a fair number of formulas compared to some other math classes, but far less memorization than is involved in something like learning a programming language. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which erik mueller demonstrates as the most effective tool for the broadest range of applications.
Interestingly, early versions of the event calculus 17 were based on logic programs but this was the time before the invention of the stable model semantics, while more extensive later developments of the event calculus. This is a prototype implementation and is no longer being updated. Monitoring business constraints with the event calculus acm. Whats the relationship between calculus and programming. In working notes of answer set programming and other computing paradigms aspocp 2008, pages 1193, 2008. Potassco, the potsdam answer set solving collection, bundles tools for answer set programming developed at the university of potsdam. For information on answer set programming asp and the input language of iled, please consult the material from the potsdam answer set solving team. Pdf a probabilistic logic programming event calculus. Symmetric splitting in the general theory of stable models. Improve your math knowledge with free questions in linear programming and thousands of other math skills.
Where is the application of calculus of continuous quantities in computer science or programming closed. Answer set programming asp is a powerful rulebased language. To demonstrate the applicability of our approach, we describe a case study about. Answer set programming asp is a declarative problem solving approach, initially tailored to modeling problems in the area of knowledge representation and reasoning krr. The labs suite comprises programs related to answer set programming.
We discuss the use of answer set programming for commonsense reasoning. Pdf event calculus reasoning through satisfiability. This allows for gradient based optimization of parameters in the program, often via gradient descent. Modeling and reasoning in event calculus using goaldirected constraint answer set programming. The event calculus explained imperial college london. The discrete event calculus reasoner is an open source program for performing automated commonsense reasoning using the discrete event calculus, a comprehensive and highly usable formalism for reasoning about action, change, space, and mental states. Paolo ferraris, joohyung lee, vladimir lifschitz and ravi palla. The reformulation of the event calculus in answer set programming allows answer set solvers to be applied to event calculus reasoning, handling more expressive reasoning tasks than the current sat. Modeling and reasoning in event calculus using goal. An event calculus based approach is a detailed, highlevel reference on logicbased commonsense reasoning. Calculus is hard, and calculus 2 is harder, but no calculus is not everywhere in cs, at least if you plan on becoming a software engineer. Event calculus answer set programming tools for automated analysis of ts speci. The logicbased language event calculus ec has been adopted to provide a formal specification and semantics to declare constraints, while a lightweight, logic programming based ec tool supports dynamically reasoning about partial, evolving execution traces.
Lomrf is a library for markov logic networks that supports event calculus reasoning under uncertainty. Modeling and reasoning in event calculus using goaldirected. More recently, its attractive combination of a rich yet simple modeling language with highperformance solving capacities has sparked interest in many other areas even. The event calculus is a logical language for representing and reasoning about events and their effects first presented by robert kowalski and marek sergot in 1986.
It was extended by murray shanahan and rob miller in the 1990s. Moreover, progress in generalizing the stable model semantics used in answer set programming asp has opened the way for the reformulation of event calculus axiomatizations into logic programs. Extending datalogasp with constraints casp enhances its expressiveness and performance but it is not straightforward as the grounding phase removes variables and the links among them. Lastly, you can use programming languages and software to solve calculus equations, but you dont need to. Discrete event calculus an overview sciencedirect topics. The event calculus in probabilistic logic programming with. An alternative tool for event calculus answer set programming is f2lp. Constraint answer set programming without grounding and its applications. Differentiable programming is a programming paradigm in which the programs can be differentiated throughout, usually via automatic differentiation. Event calculus ec is a family of formalisms that model commonsense reasoning. We present an implemented method for encoding reasoning problems of a discrete version of the classical logic event calculus in propositional conjunctive normal form, enabling the problems to be solved efficiently by offtheshelf complete satisfiability sat solvers.
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