Towards a Seamless Integration of Human and Machine Reasoning in Data-Intensive Collaborative Decision Making Settings: The Dicode Approach

被引：2

作者：

Karacapilidis, Nikos ^{[1
]}

Tzagarakis, Manolis

机构：

[1] Univ Patras, Dept Mech Engn & Aeronaut, GR-26500 Rion, Greece

来源：

FUSING DECISION SUPPORT SYSTEMS INTO THE FABRIC OF THE CONTEXT | 2012年 / 238卷

关键词：

Collaborative Decision Making; data intensiveness; Data Mining;

D O I：

10.3233/978-1-61499-073-4-223

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 presents an innovative approach to collaborative decision making that takes into account requirements imposed by the "data deluge" era. The proposed approach builds on the synergy of human and machine intelligence. It integrates a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level. Its applicability in three real-world use cases is sketched.

引用

页码：223 / +

页数：2