Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers
Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers
复制标题
知识表示和推理的图结构 - 第六届国际研讨会,GKR 2020,虚拟活动,2020 年 9 月 5 日,修订后的精选论文
DOI:
10.1007/978-3-030-72308-8_9
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Cohen D
中科院分区:
文献类型:
--
作者:
Cohen D
A pattern is a generic instance of a binary constraint satisfaction problem (CSP) in which the compatibility of certain pairs of variable-value assignments may be unspecified. The notion of forbidden pattern has led to the discovery of several novel tractable classes for the CSP. However, for this field to come of age it is time for a theoretical study of the algebra of patterns. We present a Galois connection between lattices composed of sets of forbidden patterns and sets of generic instances, and investigate its consequences. We then extend patterns to augmented patterns and exhibit a similar Galois connection. Augmented patterns are a more powerful language than flat (i.e. non-augmented) patterns, as we demonstrate by showing that, for any, instances with tree-width bounded bykcannot be specified by forbidding a finite set of flat patterns but can be specified by a finite set of augmented patterns. A single finite set of augmented patterns can also describe the class of instances such that each instance has a weak near-unanimity polymorphism of arityk(thus covering all tractable language classes).We investigate the power of forbidding augmented patterns and discuss their potential for describing new tractable classes.