TruthSift: A Platform for Collective Rationality
TruthSift is a cloud-based platform that logically combines members’ contributions into a collective intelligence. Members add statements and directed connectors to diagrams. TruthSift monitors which statements have been logically established by demonstrations for which every challenge raised has be...
Gespeichert in:
Veröffentlicht in: | Neural computation 2023-02, Vol.35 (3), p.536-553 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 553 |
---|---|
container_issue | 3 |
container_start_page | 536 |
container_title | Neural computation |
container_volume | 35 |
creator | Baum, Eric B. |
description | TruthSift is a cloud-based platform that logically combines members’ contributions into a collective intelligence. Members add statements and directed connectors to diagrams. TruthSift monitors which statements have been logically established by demonstrations for which every challenge raised has been refuted by an established refutation. When members run out of rational objections, the result is a converged diagram succinctly representing the state of knowledge about a topic, including plausible challenges and how they were refuted. Previous computer systems for collaborative intelligence did not have a qualitatively better solution for combining contributions than voting and are subject to groupthink, interest group capture, and inability to follow a multistep logical argument. They did not settle issues automatically point by point and logically propagate the consequences. I review indications that many practically important statements most people believe to be firmly established will be revealed to be firmly refuted upon computer-assisted scrutiny. TruthSift also supports construction of powerful probabilistic models over networks of causes, implications, tests, and necessary factors. |
doi_str_mv | 10.1162/neco_a_01562 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1162_neco_a_01562</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2897493719</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-b1472847b84b155dc86b8c83a1df333cfebf8d4c98cb40fe5f13d8e2a5813bac3</originalsourceid><addsrcrecordid>eNp10ElLxEAQBeBGFB2Xm2cJePFgtKurt3hSBjcQFBfw1nQ63diSTMYsgv56M4w7eqm6fLwqHiGbQPcAJNufeFcbaygIyRbICATSVGt9v0hGVGdZqqRUK2S1bR8ppRKoWCYrKBWXwGFE6G3Tdw83MXQHyVFyVdou1E2VDCMZ12XpXReffXJtu1hPbBm7l3WyFGzZ-o33vUbuTo5vx2fpxeXp-fjoInWIvEtz4IpprnLNcxCicFrm2mm0UAREdMHnQRfcZdrlnAYvAmChPbNCA-bW4RrZmedOm_qp921nqtg6X5Z24uu-NUwpzqQSig50-xd9rPtmeHdQOlM8QwXZoHbnyjV12zY-mGkTK9u8GKBm1qT53uTAt95D-7zyxSf-qO7rwSp-O_hP1uEfdEaeUUQ0iCAVGEYZGsoMKPMapz8j3gDSPJBa</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2897493719</pqid></control><display><type>article</type><title>TruthSift: A Platform for Collective Rationality</title><source>MIT Press Journals</source><creator>Baum, Eric B.</creator><creatorcontrib>Baum, Eric B.</creatorcontrib><description>TruthSift is a cloud-based platform that logically combines members’ contributions into a collective intelligence. Members add statements and directed connectors to diagrams. TruthSift monitors which statements have been logically established by demonstrations for which every challenge raised has been refuted by an established refutation. When members run out of rational objections, the result is a converged diagram succinctly representing the state of knowledge about a topic, including plausible challenges and how they were refuted. Previous computer systems for collaborative intelligence did not have a qualitatively better solution for combining contributions than voting and are subject to groupthink, interest group capture, and inability to follow a multistep logical argument. They did not settle issues automatically point by point and logically propagate the consequences. I review indications that many practically important statements most people believe to be firmly established will be revealed to be firmly refuted upon computer-assisted scrutiny. TruthSift also supports construction of powerful probabilistic models over networks of causes, implications, tests, and necessary factors.</description><identifier>ISSN: 0899-7667</identifier><identifier>EISSN: 1530-888X</identifier><identifier>DOI: 10.1162/neco_a_01562</identifier><identifier>PMID: 36746141</identifier><language>eng</language><publisher>One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press</publisher><subject>Cloud computing ; Connectors ; Knowledge representation ; Probabilistic models</subject><ispartof>Neural computation, 2023-02, Vol.35 (3), p.536-553</ispartof><rights>2023 Massachusetts Institute of Technology.</rights><rights>Copyright MIT Press Journals, The 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c334t-b1472847b84b155dc86b8c83a1df333cfebf8d4c98cb40fe5f13d8e2a5813bac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://direct.mit.edu/neco/article/doi/10.1162/neco_a_01562$$EHTML$$P50$$Gmit$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,53990,53991</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36746141$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baum, Eric B.</creatorcontrib><title>TruthSift: A Platform for Collective Rationality</title><title>Neural computation</title><addtitle>Neural Comput</addtitle><description>TruthSift is a cloud-based platform that logically combines members’ contributions into a collective intelligence. Members add statements and directed connectors to diagrams. TruthSift monitors which statements have been logically established by demonstrations for which every challenge raised has been refuted by an established refutation. When members run out of rational objections, the result is a converged diagram succinctly representing the state of knowledge about a topic, including plausible challenges and how they were refuted. Previous computer systems for collaborative intelligence did not have a qualitatively better solution for combining contributions than voting and are subject to groupthink, interest group capture, and inability to follow a multistep logical argument. They did not settle issues automatically point by point and logically propagate the consequences. I review indications that many practically important statements most people believe to be firmly established will be revealed to be firmly refuted upon computer-assisted scrutiny. TruthSift also supports construction of powerful probabilistic models over networks of causes, implications, tests, and necessary factors.</description><subject>Cloud computing</subject><subject>Connectors</subject><subject>Knowledge representation</subject><subject>Probabilistic models</subject><issn>0899-7667</issn><issn>1530-888X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp10ElLxEAQBeBGFB2Xm2cJePFgtKurt3hSBjcQFBfw1nQ63diSTMYsgv56M4w7eqm6fLwqHiGbQPcAJNufeFcbaygIyRbICATSVGt9v0hGVGdZqqRUK2S1bR8ppRKoWCYrKBWXwGFE6G3Tdw83MXQHyVFyVdou1E2VDCMZ12XpXReffXJtu1hPbBm7l3WyFGzZ-o33vUbuTo5vx2fpxeXp-fjoInWIvEtz4IpprnLNcxCicFrm2mm0UAREdMHnQRfcZdrlnAYvAmChPbNCA-bW4RrZmedOm_qp921nqtg6X5Z24uu-NUwpzqQSig50-xd9rPtmeHdQOlM8QwXZoHbnyjV12zY-mGkTK9u8GKBm1qT53uTAt95D-7zyxSf-qO7rwSp-O_hP1uEfdEaeUUQ0iCAVGEYZGsoMKPMapz8j3gDSPJBa</recordid><startdate>20230217</startdate><enddate>20230217</enddate><creator>Baum, Eric B.</creator><general>MIT Press</general><general>MIT Press Journals, The</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20230217</creationdate><title>TruthSift: A Platform for Collective Rationality</title><author>Baum, Eric B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-b1472847b84b155dc86b8c83a1df333cfebf8d4c98cb40fe5f13d8e2a5813bac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cloud computing</topic><topic>Connectors</topic><topic>Knowledge representation</topic><topic>Probabilistic models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baum, Eric B.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Neural computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baum, Eric B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>TruthSift: A Platform for Collective Rationality</atitle><jtitle>Neural computation</jtitle><addtitle>Neural Comput</addtitle><date>2023-02-17</date><risdate>2023</risdate><volume>35</volume><issue>3</issue><spage>536</spage><epage>553</epage><pages>536-553</pages><issn>0899-7667</issn><eissn>1530-888X</eissn><abstract>TruthSift is a cloud-based platform that logically combines members’ contributions into a collective intelligence. Members add statements and directed connectors to diagrams. TruthSift monitors which statements have been logically established by demonstrations for which every challenge raised has been refuted by an established refutation. When members run out of rational objections, the result is a converged diagram succinctly representing the state of knowledge about a topic, including plausible challenges and how they were refuted. Previous computer systems for collaborative intelligence did not have a qualitatively better solution for combining contributions than voting and are subject to groupthink, interest group capture, and inability to follow a multistep logical argument. They did not settle issues automatically point by point and logically propagate the consequences. I review indications that many practically important statements most people believe to be firmly established will be revealed to be firmly refuted upon computer-assisted scrutiny. TruthSift also supports construction of powerful probabilistic models over networks of causes, implications, tests, and necessary factors.</abstract><cop>One Rogers Street, Cambridge, MA 02142-1209, USA</cop><pub>MIT Press</pub><pmid>36746141</pmid><doi>10.1162/neco_a_01562</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-7667 |
ispartof | Neural computation, 2023-02, Vol.35 (3), p.536-553 |
issn | 0899-7667 1530-888X |
language | eng |
recordid | cdi_crossref_primary_10_1162_neco_a_01562 |
source | MIT Press Journals |
subjects | Cloud computing Connectors Knowledge representation Probabilistic models |
title | TruthSift: A Platform for Collective Rationality |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T13%3A59%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=TruthSift:%20A%20Platform%20for%20Collective%20Rationality&rft.jtitle=Neural%20computation&rft.au=Baum,%20Eric%20B.&rft.date=2023-02-17&rft.volume=35&rft.issue=3&rft.spage=536&rft.epage=553&rft.pages=536-553&rft.issn=0899-7667&rft.eissn=1530-888X&rft_id=info:doi/10.1162/neco_a_01562&rft_dat=%3Cproquest_cross%3E2897493719%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2897493719&rft_id=info:pmid/36746141&rfr_iscdi=true |