scholarly journals Explaining Actual Causation via Reasoning about Actions and Change

2021 ◽  
Author(s):  
Emily C. LeBlanc
Erkenntnis ◽  
2013 ◽  
Vol 78 (S1) ◽  
pp. 85-109 ◽  
Author(s):  
Michael Baumgartner

Author(s):  
Joseph Y. Halpern

Recent work in psychology and experimental philosophy has shown that judgments of actual causation are often influenced by consideration of defaults, typicality, and normality. This chapter shows the definition of causality introduced in Chapter 2 can be extended to defaults, typicality, and normality into account. The resulting framework takes actual causation to be both graded and comparative. Thus, it allows us to say that one cause is better than another. Examples showing the power of the approach are considered.


2016 ◽  
Vol 10 (5) ◽  
pp. 870-888 ◽  
Author(s):  
Jiankun He ◽  
Xishun Zhao

Synthese ◽  
2016 ◽  
Vol 195 (2) ◽  
pp. 835-862 ◽  
Author(s):  
Sander Beckers ◽  
Joost Vennekens
Keyword(s):  

Author(s):  
Joseph Y. Halpern

Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C “actually caused” event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal arguments, it is precisely what needs to be established in order to determine responsibility. The philosophy literature has been struggling with the problem of defining causality since Hume. In this book, Joseph Halpern explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression. Halpern applies and expands an approach to causality that he and Judea Pearl developed, based on structural equations. He carefully formulates a definition of causality, and building on this, defines degree of responsibility, degree of blame, and causal explanation. He concludes by discussing how these ideas can be applied to such practical problems as accountability and program verification.


Sign in / Sign up

Export Citation Format

Share Document