Integration of Fuzzy Logic in Analogical Reasoning: A Prototype

被引:0
作者
Colombo, Moreno [1 ]
D'Onofrio, Sara [2 ]
Portmann, Edy [1 ]
机构
[1] Univ Fribourg, Human IST Inst, Fribourg, Switzerland
[2] Business Engn Inst St Gallen, Competence Ctr Smart Citizen, St Gallen, Switzerland
来源
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP 2020) | 2020年
关键词
analogy; approximate reasoning; artificial intelligence; conceptual analogy; design science; fuzzy analogical reasoning; fuzzy logic; prototype; semantic similarity; spectral analogy; SYSTEMS;
D O I
10.1109/iccp51029.2020.9266156
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Research and practice have long been working on the development and implementation of intelligent or smart systems. Such efforts are particularly made in the field of artificial intelligence. In this context, this article deals with the design and development of a system that should come close to human information processing. The proposed framework, consisting of an analogical scheme which is extended by fuzzy logic, represents an additional information processing module that can process and interpret unknown terms by linking them with known ones. The focus of this contribution is set on the creation of a prototype able of computing conceptual and spectral analogies. Thereby, this article discusses the current state of the fuzzy analogical reasoning prototype, and its implications and limitations.
引用
收藏
页码:5 / 11
页数:7
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