Towards a Logical Model of Induction from Examples and Communication

被引：0

作者：

Ontanon, Santiago ^{[1
,2
]}

Dellunde, Pilar ^{[2
,3
]}

Godo, Lluis ^{[2
]}

Plaza, Enric ^{[2
]}

机构：

[1] CSIC Spanish Council Sci Res, IIIA Artificial Intelligence Res Inst, Campus UAB, Bellaterra 08193, Catalonia, Spain

[2] CSIC, IIIA, Artificial Intelligence Res Inst, Madrid, Spain

[3] Univ Autonoma Barcelona, E-08193 Barcelona, Spain

来源：

ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT | 2010年 / 220卷

关键词：

Induction; Logic; Argumentation; Machine Learning; DEFEASIBLE LOGIC;

D O I：

10.3233/978-1-60750-643-0-259

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on a logical model of induction, and specifically of the common machine learning task of inductive concept learning (ICL). We define an inductive derivation relation, which characterizes which hypothesis can be induced from sets of examples, and show its properties. Moreover, we will also consider the problem of communicating inductive inferences between two agents, which corresponds to the multi-agent ICL problem. Thanks to the introduced logical model of induction, we will show that this communication can be modeled using computational argumentation.

引用

页码：259 / 268

页数：10

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