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GQR: A Fast Solver for Binary Qualitative Constraint Networks

机译:GQR:用于二进制定性约束网络的快速求解器

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Qualitative calculi are constraint-based representation formalisms that allow for efficient reasoning about continuous aspects of the world with inherently infinite domains, such as time and space. GQR (Generic Qualitative Reasoner) is a tool that provides reasoning services for arbitrary binary qualitative calculi. Given qualitative information expressible in a qualitative calculus, GQR checks whether this information is consistent w.r.t. the calculus definition. GQR employs state-of-the-art techniques in both qualitative and constraint reasoning, such as heuristic search and usage of known tractable subclasses. In contrast to specialized reasoners, it offers reasoning services for a variety of calculi known in the literature, which can be defined in a simple specification language. The main focus in the design and implementation of GQR is to provide a generic and extensible solver that preserves efficiency and scalability.
机译:定性计算是基于约束的代表性形式主义,允许有效地推理世界的连续方面,具有固有的无限域,例如时间和空间。 GQR(通用定性推理)是一种为任意二进制定性计算提供推理服务的工具。给定定性信息在定性微积分中,GQR检查此信息是否一致为w.r.t.微积分定义。 GQR在定性和约束推理中采用最先进的技术,例如已知的易旧子类的启发式搜索和使用。与专业推理师相比,它为文献中已知的各种计算提供推理服务,可以以简单的规范语言定义。 GQR设计和实现的主要重点是提供一种通用和可扩展的求解器,可以保留效率和可扩展性。

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