COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Manuscrito (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-60452022005003202 |
Resumo: | Abstract Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, and even artificial intelligence. In this study, we propose a new form of analysis for counterfactuals: analysis by algorithmic complexity. Inspired by Lewis-Stalnaker's Possible Worlds Semantics, the proposed method allows for a new interpretation of the debate between David Lewis and Robert Stalnaker regarding the Limit and Singularity assumptions. Besides other results, we offer a new way to answer the problems raised by Goodman and Quine regarding vagueness, context-dependence, and the non- monotonicity of counterfactuals. Engaging in a dialogue with literature, this study will seek to bring new insights and tools to this debate. We hope our method of analysis can make counterfactuals more understandable in an intuitively plausible way, and a philosophically justifiable manner, aligned with the way we usually think about counterfactual propositions and our imaginative reasoning. |
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COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDSAlgorithmic complexityCounterfactualsPossible world semanticsSimilarity functionAbstract Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, and even artificial intelligence. In this study, we propose a new form of analysis for counterfactuals: analysis by algorithmic complexity. Inspired by Lewis-Stalnaker's Possible Worlds Semantics, the proposed method allows for a new interpretation of the debate between David Lewis and Robert Stalnaker regarding the Limit and Singularity assumptions. Besides other results, we offer a new way to answer the problems raised by Goodman and Quine regarding vagueness, context-dependence, and the non- monotonicity of counterfactuals. Engaging in a dialogue with literature, this study will seek to bring new insights and tools to this debate. We hope our method of analysis can make counterfactuals more understandable in an intuitively plausible way, and a philosophically justifiable manner, aligned with the way we usually think about counterfactual propositions and our imaginative reasoning.UNICAMP - Universidade Estadual de Campinas, Centro de Lógica, Epistemologia e História da Ciência2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-60452022005003202Manuscrito n.ahead 2022reponame:Manuscrito (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMP10.1590/0100-6045.2022.v45n4.nninfo:eu-repo/semantics/openAccessCORRÊA,NICHOLASOLIVEIRA,NYTHAMAR FERNANDES DEeng2022-08-25T00:00:00Zoai:scielo:S0100-60452022005003202Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-6045&lng=pt&nrm=isoPUBhttps://old.scielo.br/oai/scielo-oai.phpmwrigley@cle.unicamp.br|| dascal@spinoza.tau.ac.il||publicacoes@cle.unicamp.br2317-630X0100-6045opendoar:2022-08-25T00:00Manuscrito (Online) - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
title |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
spellingShingle |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS CORRÊA,NICHOLAS Algorithmic complexity Counterfactuals Possible world semantics Similarity function |
title_short |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
title_full |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
title_fullStr |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
title_full_unstemmed |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
title_sort |
COUNTERFACTUAL ANALYSIS BY ALGORITHMIC COMPLEXITY: A METRIC BETWEEN POSSIBLE WORLDS |
author |
CORRÊA,NICHOLAS |
author_facet |
CORRÊA,NICHOLAS OLIVEIRA,NYTHAMAR FERNANDES DE |
author_role |
author |
author2 |
OLIVEIRA,NYTHAMAR FERNANDES DE |
author2_role |
author |
dc.contributor.author.fl_str_mv |
CORRÊA,NICHOLAS OLIVEIRA,NYTHAMAR FERNANDES DE |
dc.subject.por.fl_str_mv |
Algorithmic complexity Counterfactuals Possible world semantics Similarity function |
topic |
Algorithmic complexity Counterfactuals Possible world semantics Similarity function |
description |
Abstract Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, and even artificial intelligence. In this study, we propose a new form of analysis for counterfactuals: analysis by algorithmic complexity. Inspired by Lewis-Stalnaker's Possible Worlds Semantics, the proposed method allows for a new interpretation of the debate between David Lewis and Robert Stalnaker regarding the Limit and Singularity assumptions. Besides other results, we offer a new way to answer the problems raised by Goodman and Quine regarding vagueness, context-dependence, and the non- monotonicity of counterfactuals. Engaging in a dialogue with literature, this study will seek to bring new insights and tools to this debate. We hope our method of analysis can make counterfactuals more understandable in an intuitively plausible way, and a philosophically justifiable manner, aligned with the way we usually think about counterfactual propositions and our imaginative reasoning. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-60452022005003202 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-60452022005003202 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-6045.2022.v45n4.nn |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
UNICAMP - Universidade Estadual de Campinas, Centro de Lógica, Epistemologia e História da Ciência |
publisher.none.fl_str_mv |
UNICAMP - Universidade Estadual de Campinas, Centro de Lógica, Epistemologia e História da Ciência |
dc.source.none.fl_str_mv |
Manuscrito n.ahead 2022 reponame:Manuscrito (Online) instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Manuscrito (Online) |
collection |
Manuscrito (Online) |
repository.name.fl_str_mv |
Manuscrito (Online) - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
mwrigley@cle.unicamp.br|| dascal@spinoza.tau.ac.il||publicacoes@cle.unicamp.br |
_version_ |
1748950066274500608 |