Ability-oriented Performance Evaluation of General Intelligent Decision-making Engines Based on Knowledge Graphs

The rapid development of artificial intelligence technology has changed modern warfare, in which intelligent decision-making based on knowledge graph technology is one of the most important applications. A general intelligent decision-making engine is expected to realize intelligent semantic search,...

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Bibliographic Details
Published in2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) pp. 48 - 52
Main Authors Xu, Xin, Gao, Yan, Li, Xiyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.06.2021
Subjects
ability-oriented
Cognition
Decision making
decision-making engine
evaluation
Hazards
Knowledge discovery
knowledge graph
military
Performance evaluation
Semantic search
Software algorithms
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Summary:The rapid development of artificial intelligence technology has changed modern warfare, in which intelligent decision-making based on knowledge graph technology is one of the most important applications. A general intelligent decision-making engine is expected to realize intelligent semantic search, intelligent question answering, and knowledge reasoning by building knowledge graphs from big data to improve the effectiveness of decision-making in military scenarios. However, there is still no answer on how to evaluate the performance of knowledge graph techniques serving for decision-making. For this reason, an ability-oriented performance evaluation framework for general decision-making engines used in the military field is proposed in this paper. We summarize five basic abilities of general intelligent decision-making engines from its construction and application with military knowledge graphs, and then discuss quantitative evaluation methods for each specific ability in detail.
DOI:10.1109/SEAI52285.2021.9477540