Verified65% confidenceFactExact time
The theoretical basis of SHAP comes from the concept of Shapley values in cooperative game theory, proposed by Nobel Prize-winning economist Lloyd Shapley in 1953; in 2017, Lundberg and Lee introduced it into the field of machine learning.
3
Sources
65%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI预测足球比赛：推理过程比结果更有价值
redditr/aiagents7/12/2026
Related Claims
VerifiedThe theoretical foundation of SHAP (SHapley Additive exPlanations) originates from the fair allocation scheme proposed by Lloyd Shapley in cooperative game theory, for which he received the Nobel Prize in Economics in 1953.85% similarVerifiedSHAP (SHapley Additive exPlanations) was proposed by Lundberg and Lee in 2017 and is based on the Shapley value principle from cooperative game theory.81% similarVerifiedThe Gale-Shapley algorithm was proposed by mathematicians David Gale and Lloyd Shapley in 1962, and Shapley received the 2012 Nobel Prize in Economics for this work71% similarUnverifiedLloyd Shapley won the Nobel Prize in Economics jointly with Alvin Roth for his contributions to game theory and matching theory.65% similarUnverifiedSHAP由Scott Lundberg于2017年在NeurIPS论文中提出，是唯一同时满足局部准确性、缺失性和一致性三个公理的归因方法61% similar
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