RULE-BASED AND CASE-BASED REASONING: A COMPARISON

被引：0

作者：

Berka, Petr ^{[1
,2
]}

机构：

[1] Univ Econ, Fac Informat & Stat, Dept Informat & Knowledge Engn, Prague, Czech Republic

[2] Univ Finance & Adm, Dept Comp Sci & Math, Prague, Czech Republic

来源：

STRATEGIC MODELING IN MANAGEMENT, ECONOMY AND SOCIETY (IDIMT-2018) | 2018年 / 47卷

关键词：

Rule-based reasoning; case-based reasoning; inference mechanism; knowledge base; sentiment analysis;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Knowledge representation and reasoning play key role in automated decision support as many of the problems machines are expected to solve will require extensive knowledge about the world. In the area of AI (artificial intelligence) research two complementary approaches, rule-based reasoning and case-based reasoning are widely used for building knowledge-based "intelligent" decision-support systems. We will describe the basic principles of both approaches, their strengths and limitations and show how these approaches can be used for sentiment analysis.

引用

页码：217 / 224

页数：8

共 14 条

[1]

AAMODT A, 1994, AI COMMUN, V7, P39

[2]

[Anonymous], ARXIV10031493

[3]

[Anonymous], ADV ARTIFICIAL INTEL

[4]

[Anonymous], 1982, Dynamic Memory: A Theory of Learning in Computers and People