Actual Causality
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...
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| フォーマット: | Online |
| 言語: | 英語 |
| 出版事項: |
The MIT Press
2022
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| 主題: | |
| オンライン･アクセス: | ONIX_20220221_9780262336611_61 |
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| _version_ | 1869515637410234368 |
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| author | Halpern, Joseph Y. |
| author_browse | Halpern, Joseph Y. |
| author_facet | Halpern, Joseph Y. |
| author_sort | Halpern, Joseph Y. |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78541 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-785412024-04-08T20:11:19Z Actual Causality Halpern, Joseph Y. 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 bic Book Industry Communication::H Humanities::HP Philosophy::HPX Popular philosophy bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDX Popular philosophy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning 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. 2022-02-21T15:11:08Z 2022-02-21T15:11:08Z 2016 book ONIX_20220221_9780262336611_61 9780262336611 9780262035026 https://directory.doabooks.org/handle/20.500.12854/78541 eng The MIT Press image/jpeg n/a https://doi.org/10.7551/mitpress/10809.001.0001 The MIT Press The MIT Press 10.7551/mitpress/10809.001.0001 10.7551/mitpress/10809.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262336611 9780262035026 The MIT Press 240 Cambridge open access |
| spellingShingle | 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 bic Book Industry Communication::H Humanities::HP Philosophy::HPX Popular philosophy bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDX Popular philosophy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Halpern, Joseph Y. Actual Causality |
| title | Actual Causality |
| title_full | Actual Causality |
| title_fullStr | Actual Causality |
| title_full_unstemmed | Actual Causality |
| title_short | Actual Causality |
| title_sort | actual causality |
| topic | 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 bic Book Industry Communication::H Humanities::HP Philosophy::HPX Popular philosophy bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDX Popular philosophy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | 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 bic Book Industry Communication::H Humanities::HP Philosophy::HPX Popular philosophy bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDX Popular philosophy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20220221_9780262336611_61 |
| work_keys_str_mv | AT halpernjosephy actualcausality |