Actual Causality

• Main Author: Halpern, Joseph Y. (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Cambridge The MIT Press 2016
• Series: The MIT Press
• Subjects: Popular philosophy; Machine learning; Functional analysis; probabilities; probability; causation; causality; causal modeling; causal model; model; complexity; axiomization; responsibility; blame; explanation; definitions; network; cause; computation; dependence; endogenous variable; variable; intervention; normality; ordering; structural equations; witness; typicality
• Online Access: DOAB: download the publication; DOAB: description of the publication

A new approach for defining causality and such related notions as degree of responsibility, degrees of blame, and causal explanation. 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. Technical details are generally confined to the final section of each chapter and can be skipped by non-mathematical readers.