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摘要:
The approach for probabilistic rationale of artificial intelligence systems actions is proposed.It is based on an implementation of the proposed interconnected ideas 1-7 about system analysis and optimization focused on prognostic modeling.The ideas may be applied also by using another probabilistic models which supported by software tools and can predict successfulness or risks on a level of probability distribution functions.The approach includes description of the proposed probabilistic models,optimization methods for rationale actions and incremental algorithms for solving the problems of supporting decision-making on the base of monitored data and rationale robot actions in uncertainty conditions.The approach means practically a proactive commitment to excellence in uncertainty conditions.A suitability of the proposed models and methods is demonstrated by examples which cover wide applications of artificial intelligence systems.
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篇名 Probabilistic Rationale of Actions for Artificial Intelligence Systems Operating in Uncertainty Conditions
来源期刊 人工智能进展(英文) 学科 工学
关键词 Analysis Artificial INTELLIGENCE systems Model Operation Prediction PROBABILITY RATIONALE Risk SYSTEM SYSTEM engineering
年,卷(期) 2019,(2) 所属期刊栏目
研究方向 页码范围 5-23
页数 19页 分类号 TP3
字数 语种
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研究主题发展历程
节点文献
Analysis
Artificial
INTELLIGENCE
systems
Model
Operation
Prediction
PROBABILITY
RATIONALE
Risk
SYSTEM
SYSTEM
engineering
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
人工智能进展(英文)
半年刊
2661-3220
12 Eu Tong Sen Stree
出版文献量(篇)
23
总下载数(次)
0
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