approximate reasoning
[/əˈprɒksɪmət ˈriːzənɪŋ/]
noun
raciocínio aproximado
1. A form of reasoning that deals with incomplete, imprecise, or uncertain information, commonly used in artificial intelligence and fuzzy logic systems
The expert system uses approximate reasoning to make diagnoses when faced with incomplete medical data.
O sistema especialista usa raciocínio aproximado para fazer diagnósticos quando enfrenta dados médicos incompletos.
2. A computational method that allows systems to draw conclusions from vague or fuzzy premises rather than requiring precise logical statements
Approximate reasoning enables the robot to navigate uncertain environments effectively.
O raciocínio aproximado permite que o robô navegue em ambientes incertos com efetividade.
3. The process of reaching conclusions based on estimates, heuristics, or probabilistic information rather than exact data
Weather prediction systems rely on approximate reasoning to forecast conditions with varying degrees of confidence.
Os sistemas de previsão meteorológica usam raciocínio aproximado para prever condições com diferentes graus de confiança.
This is primarily a technical term used in computer science, artificial intelligence, and engineering fields in both Brazil and the United States. It is not commonly used in everyday conversation and is specific to academic and professional contexts. The term has become increasingly important with the rise of machine learning and AI applications that must handle real-world uncertainty.
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