Towards a theory of small worlds
Practical probabilistic reasoning requires that a reasoning agent be able to construct and reason from small, problem-specific inference models. Such inference models are sometimes called small worlds, because they involve reasoning from a limited set of facts, hypotheses and outcomes. A truly gener...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 330 |
|---|---|
| container_issue | |
| container_start_page | 326 |
| container_title | |
| container_volume | |
| creator | Lehner, P.E. Laskey, K.B. |
| description | Practical probabilistic reasoning requires that a reasoning agent be able to construct and reason from small, problem-specific inference models. Such inference models are sometimes called small worlds, because they involve reasoning from a limited set of facts, hypotheses and outcomes. A truly general purpose probabilistic reasoning sytem must have the ability to construct and reason from small worlds. There are difficult philosophical and practical issues associated with the question of how to construct, reason from, and revise small worlds. Unfortunately, Bayesian decision theory provides little theoretical guidance for addressing these issues. This is because the axioms of Bayesian theory imply global coherence, which in turn implies that these issues do not exist. The authors overview some work addressing these issues.< > |
| doi_str_mv | 10.1109/ISUMA.1993.366749 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_366749</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>366749</ieee_id><sourcerecordid>366749</sourcerecordid><originalsourceid>FETCH-LOGICAL-i89t-e7be7f5640e1a98bd5f0da8256f98bdee196d3e07df4f1d56a778add0b14ffa93</originalsourceid><addsrcrecordid>eNotj8tKA0EQRRtEUOJ8QFz1D8zYZb-XIfgIRFw4WYcaqgpHJox0B0L-XiXezeFsDlyllmA6AJMfNh-7t1UHOdvOhhBdvlJNjskkSMEmb-yNamr9Mr9zzjsPt0r38wkLVY36-MlzOetZdD3gNOnTXCaqd-pacKrc_HOh-uenfv3abt9fNuvVth1TPrYcB47igzMMmNNAXgxhevRB_owZciDLJpI4AfIBY0xIZAZwIpjtQt1fsiMz77_LeMBy3l9e2B9xjz01</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Towards a theory of small worlds</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Lehner, P.E. ; Laskey, K.B.</creator><creatorcontrib>Lehner, P.E. ; Laskey, K.B.</creatorcontrib><description>Practical probabilistic reasoning requires that a reasoning agent be able to construct and reason from small, problem-specific inference models. Such inference models are sometimes called small worlds, because they involve reasoning from a limited set of facts, hypotheses and outcomes. A truly general purpose probabilistic reasoning sytem must have the ability to construct and reason from small worlds. There are difficult philosophical and practical issues associated with the question of how to construct, reason from, and revise small worlds. Unfortunately, Bayesian decision theory provides little theoretical guidance for addressing these issues. This is because the axioms of Bayesian theory imply global coherence, which in turn implies that these issues do not exist. The authors overview some work addressing these issues.< ></description><identifier>ISBN: 9780818638503</identifier><identifier>ISBN: 0818638508</identifier><identifier>DOI: 10.1109/ISUMA.1993.366749</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Bayesian methods ; Calculus ; Decision theory ; Encoding ; Knowledge engineering ; Partial response channels ; Probability ; Systems engineering and theory ; Uncertainty ; Variable speed drives</subject><ispartof>1993 (2nd) International Symposium on Uncertainty Modeling and Analysis, 1993, p.326-330</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/366749$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/366749$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lehner, P.E.</creatorcontrib><creatorcontrib>Laskey, K.B.</creatorcontrib><title>Towards a theory of small worlds</title><title>1993 (2nd) International Symposium on Uncertainty Modeling and Analysis</title><addtitle>ISUMA</addtitle><description>Practical probabilistic reasoning requires that a reasoning agent be able to construct and reason from small, problem-specific inference models. Such inference models are sometimes called small worlds, because they involve reasoning from a limited set of facts, hypotheses and outcomes. A truly general purpose probabilistic reasoning sytem must have the ability to construct and reason from small worlds. There are difficult philosophical and practical issues associated with the question of how to construct, reason from, and revise small worlds. Unfortunately, Bayesian decision theory provides little theoretical guidance for addressing these issues. This is because the axioms of Bayesian theory imply global coherence, which in turn implies that these issues do not exist. The authors overview some work addressing these issues.< ></description><subject>Bayesian methods</subject><subject>Calculus</subject><subject>Decision theory</subject><subject>Encoding</subject><subject>Knowledge engineering</subject><subject>Partial response channels</subject><subject>Probability</subject><subject>Systems engineering and theory</subject><subject>Uncertainty</subject><subject>Variable speed drives</subject><isbn>9780818638503</isbn><isbn>0818638508</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKA0EQRRtEUOJ8QFz1D8zYZb-XIfgIRFw4WYcaqgpHJox0B0L-XiXezeFsDlyllmA6AJMfNh-7t1UHOdvOhhBdvlJNjskkSMEmb-yNamr9Mr9zzjsPt0r38wkLVY36-MlzOetZdD3gNOnTXCaqd-pacKrc_HOh-uenfv3abt9fNuvVth1TPrYcB47igzMMmNNAXgxhevRB_owZciDLJpI4AfIBY0xIZAZwIpjtQt1fsiMz77_LeMBy3l9e2B9xjz01</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Lehner, P.E.</creator><creator>Laskey, K.B.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Towards a theory of small worlds</title><author>Lehner, P.E. ; Laskey, K.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-e7be7f5640e1a98bd5f0da8256f98bdee196d3e07df4f1d56a778add0b14ffa93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Bayesian methods</topic><topic>Calculus</topic><topic>Decision theory</topic><topic>Encoding</topic><topic>Knowledge engineering</topic><topic>Partial response channels</topic><topic>Probability</topic><topic>Systems engineering and theory</topic><topic>Uncertainty</topic><topic>Variable speed drives</topic><toplevel>online_resources</toplevel><creatorcontrib>Lehner, P.E.</creatorcontrib><creatorcontrib>Laskey, K.B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lehner, P.E.</au><au>Laskey, K.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards a theory of small worlds</atitle><btitle>1993 (2nd) International Symposium on Uncertainty Modeling and Analysis</btitle><stitle>ISUMA</stitle><date>1993</date><risdate>1993</risdate><spage>326</spage><epage>330</epage><pages>326-330</pages><isbn>9780818638503</isbn><isbn>0818638508</isbn><abstract>Practical probabilistic reasoning requires that a reasoning agent be able to construct and reason from small, problem-specific inference models. Such inference models are sometimes called small worlds, because they involve reasoning from a limited set of facts, hypotheses and outcomes. A truly general purpose probabilistic reasoning sytem must have the ability to construct and reason from small worlds. There are difficult philosophical and practical issues associated with the question of how to construct, reason from, and revise small worlds. Unfortunately, Bayesian decision theory provides little theoretical guidance for addressing these issues. This is because the axioms of Bayesian theory imply global coherence, which in turn implies that these issues do not exist. The authors overview some work addressing these issues.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ISUMA.1993.366749</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9780818638503 |
| ispartof | 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis, 1993, p.326-330 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_366749 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bayesian methods Calculus Decision theory Encoding Knowledge engineering Partial response channels Probability Systems engineering and theory Uncertainty Variable speed drives |
| title | Towards a theory of small worlds |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T18%3A10%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Towards%20a%20theory%20of%20small%20worlds&rft.btitle=1993%20(2nd)%20International%20Symposium%20on%20Uncertainty%20Modeling%20and%20Analysis&rft.au=Lehner,%20P.E.&rft.date=1993&rft.spage=326&rft.epage=330&rft.pages=326-330&rft.isbn=9780818638503&rft.isbn_list=0818638508&rft_id=info:doi/10.1109/ISUMA.1993.366749&rft_dat=%3Cieee_6IE%3E366749%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=366749&rfr_iscdi=true |