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Towards a Seamless Integration of Human and Machine Reasoning in Data-Intensive Collaborative Decision Making Settings: The Dicode Approach
Nikos Karacapilidis, Manolis Tzagarakis
223 - 228
10.3233/978-1-61499-073-4-223
Frontiers in Artificial Intelligence and Applications
Volume 238: Fusing Decision Support Systems into the Fabric of the Context
Abstract

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.

$35.00 / €27.50 / £22.00
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