The TIMERS II Algorithm for the Discovery of Causality
作者： Howard J. Hamilton , Kamran Karimi
DOI: 10.1007/11430919_86
关键词: Artificial intelligence 、 Causality 、 Computer science 、 Causality (physics) 、 Algorithm
摘要: We present the Temporal Investigation Method for Enregistered Record Sequences II (TIMERS II), which can be used to classify relationship between a decision attribute and number of condition attributes as instantaneous, causal, or acausal. In this paper we consider it possible refer both previous next values in temporal rules, thus enhance definition acausality. also new algorithm distinguishing causality
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