Causal bayes nets and token-causation: closing the gap between token-level and type-level

HIGHLIGHTS

  • who: Alexander Gebharter from the Center for Philosophy, Science, and Policy, Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Via Tronto B, Ancona, Italy have published the research: Causal Bayes Nets and Token-Causation: Closing the Gap between Token-Level and Type-Level, in the Journal: (JOURNAL)
  • what: The aim of this section is to briefly indicate how what is classified as a tokenlevel causal relation differs depending on the underlying theory of token-causation. (This also holds in the case of preventions: When the authors are looking for a cause of why . . .

     

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