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Hybrid Automated Reasoning Tools: from Black-box to Clear-box Integration

机译:混合自动推理工具:从黑盒到透明盒   积分

摘要

Recently, researchers in answer set programming and constraint programmingspent significant efforts in the development of hybrid languages and solvingalgorithms combining the strengths of these traditionally separate fields.These efforts resulted in a new research area: constraint answer setprogramming (CASP). CASP languages and systems proved to be largely successfulat providing efficient solutions to problems involving hybrid reasoning tasks,such as scheduling problems with elements of planning. Yet, the development ofCASP systems is difficult, requiring non-trivial expertise in multiple areas.This suggests a need for a study identifying general development principles ofhybrid systems. Once these principles and their implications are wellunderstood, the development of hybrid languages and systems may become awell-established and well-understood routine process. As a step in thisdirection, in this paper we conduct a case study aimed at evaluating variousintegration schemas of CASP methods.
机译:最近,答案集编程和约束编程的研究人员在混合语言和求解算法的开发方面进行了巨大的努力,结合了这些传统领域的优势,这些工作产生了一个新的研究领域:约束答案集编程(CASP)。事实证明,CASP语言和系统在为涉及混合推理任务的问题(例如计划元素的计划问题)提供有效解决方案方面非常成功。然而,CASP系统的开发很困难,需要在多个领域具有非凡的专业知识。这表明需要进行研究,确定混合系统的一般开发原理。一旦这些原理及其含义得到了很好的理解,混合语言和系统的开发就可能成为一个完善且易于理解的例行程序。作为朝这个方向迈出的一步,我们在本文中进行了一个案例研究,旨在评估CASP方法的各种集成方案。

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  • 年度 2013
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  • 正文语种 {"code":"en","name":"English","id":9}
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