Learning and reasoning in complex coalition information environments: a critical analysis
Author
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
Abstract
In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate and deep understanding of a situation derived from uncertain and often sparse data and collective foresight - i.e., the ability to predict what will happen in the future. When it comes to complex scenarios, the need for a distributed CSU naturally emerges, as a single monolithic approach not only is unfeasible: it is also undesirable. We therefore propose a principled, critical analysis of AI techniques that can support specific tasks for CSU to derive guidelines for designing distributed systems for CSU.
Source :
2018 21st International Conference on Information Fusion (FUSION)
Date :
2018-09-05
Publisher :
IEEE
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