DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning

被引：0

作者：

Hecham, Abdelraouf ^{[1
]}

Croitoru, Madalina ^{[1
]}

Bisquert, Pierre ^{[2
]}

机构：

[1] Univ Montpellier, LIRMM, Montpellier, France

[2] INRA, IATE, Montpellier, France

来源：

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2020年 / 34卷

基金：

欧盟地平线“2020”;

关键词：

ARGUMENTATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This demonstration paper introduces DAMN: a defeasible reasoning platform available on the web. It is geared towards decision making where each agent has its own knowledge base that can be combined with other agents to detect and visualize conflicts and potentially solve them using a semantics. It allows the use of different defeasible reasoning semantics (ambiguity blocking/propagating with or without team defeat) and integrates agent collaboration and visualization features.

引用

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页码：13612 / 13613

页数：2

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