کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11016431 | 1777033 | 2019 | 54 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evidence gathering for hypothesis resolution using judicial evidential reasoning
ترجمه فارسی عنوان
جمع آوری شواهد برای حل وفاداری با استفاده از استدلال اثبات قضایی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
تئوری دمپستر-شافر، وضوح فرضیه، تعصب تایید، ناامیدی متقارن، پشتیبانی تصمیم
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Realistic decision-making often occurs with insufficient time to gather all possible evidence before a decision must be rendered, requiring an efficient process for prioritizing between potential action sequences. This work aims to develop a rigorous framework for gathering evidence to resolve hypotheses notwithstanding ambiguous, incomplete, and uncertain evidence. Studies have shown that decision-makers demonstrate several biases in decisions involving probability judgment, so decision-makers must be confident that the evidence-based hypothesis resolution is strong and impartial before declaring a resolution. The proposed Judicial Evidential Reasoning framework encodes decision-maker questions as rigorously testable hypotheses to be interrogated through evidence-gathering actions. Dempster-Shafer theory is applied to model hypothesis knowledge and quantify ambiguity, and an equal-effort heuristic is proposed to balance time-efficiency and impartiality. Adversarial optimization techniques are used to make many-hypothesis resolution computationally tractable. This work includes derivation of the generalized formulation, computational tractability considerations for improved performance, several illustrative examples, and application to a space situational awareness sensor network tasking scenario. The results show strong hypothesis resolution and robustness to fixation due to poor prior evidence.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 49, September 2019, Pages 26-45
Journal: Information Fusion - Volume 49, September 2019, Pages 26-45
نویسندگان
A.D. Jaunzemis, M.J. Holzinger, M.W. Chan, P.P. Shenoy,