The Case for Circularities in Case-Based Reasoning

被引:0
|
作者
Parsodkar, Adwait P. [1 ]
Deepak, P. [1 ,2 ]
Chakraborti, Sutanu [1 ]
机构
[1] Indian Inst Technol, Chennai, Tamil Nadu, India
[2] Queens Univ Belfast, Belfast, Antrim, North Ireland
来源
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2023 | 2023年 / 14141卷
关键词
Circularity; Truth Discovery; Knowledge Containers;
D O I
10.1007/978-3-031-40177-0_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we demonstrate that diverse CBR research contexts share a common thread, in that their origin can be traced to the problem of circularity. An example is where the knowledge of property Lambda requires us to know property B, but B, in turn, is not known unless A is determined. We examine the root cause of such circularities and present fundamental impossibility results in this context. We show how a systematic study of circularity can motivate the quest for novel CBR paradigms and lead to novel approaches that address circularities in traditional CBR retrieval, adaptation, and maintenance tasks. Furthermore, such an analysis can help in extending the solution of one problem to solve an apparently unrelated problem, once we discover the commonality they share deep down in terms of the circularities they address.
引用
收藏
页码:85 / 101
页数:17
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