Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market
Market theory is often concerned only with centralised markets. In this paper, we consider a market that is distributed over a network, allowing us to characterise spatially (or temporally) segregated markets. The effect of this modification on the behaviour of a market populated by simple trading a...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 211 |
---|---|
container_issue | |
container_start_page | 200 |
container_title | |
container_volume | |
creator | Ladley, Dan Bullock, Seth |
description | Market theory is often concerned only with centralised markets. In this paper, we consider a market that is distributed over a network, allowing us to characterise spatially (or temporally) segregated markets. The effect of this modification on the behaviour of a market populated by simple trading agents was examined. It was demonstrated that an agent’s ability to identify the optimum market price is positively correlated with its network connectivity. A better connected agent receives more information and, as a result, is better able to judge the market state. The ZIP trading agent algorithm is modified in light of this result. Simulations reveal that trading agents which take account of the quality of the information that they receive are better able to identify the optimum price within a market. |
doi_str_mv | 10.1007/11888727_15 |
format | Book Chapter |
fullrecord | <record><control><sourceid>pascalfrancis_sprin</sourceid><recordid>TN_cdi_pascalfrancis_primary_19104847</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>19104847</sourcerecordid><originalsourceid>FETCH-LOGICAL-g250t-e73220c9b6b56d96535dee618c5c69576c1f75f8dbe0bcf83ed1178ddebfac653</originalsourceid><addsrcrecordid>eNpVkDtPwzAYRc1LopRO_AEvDAwBf3b8YkNVC5WKAAmExBI5jhNMU6eKjUT_PUFlgOle6R7d4SB0BuQSCJFXAEopSWUBfA9NtFSM5yQXNGd6H41AAGSM5frg30bpIRoRRmimZc6O0UmMH4QQKjUdofnre4dTh5c-JheGdo1nX5u288mHBi9C3fVrk3wX8NOnaX3aYh-wwW-Lx-ymcSHhe9OvXDpFR7Vpo5v85hi9zGfP07ts-XC7mN4ss4ZykjInGaXE6lKUXFRacMYr5wQoy63QXAoLteS1qkpHSlsr5ioAqarKlbWxAz5G57vfjYnWtHVvgvWx2PR-bfptARpIrnI5cBc7Lg5TaFxflF23igWQ4kdk8Uck-waOK180</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market</title><source>Springer Books</source><creator>Ladley, Dan ; Bullock, Seth</creator><contributor>La Poutré, Han ; Sadeh, Norman M. ; Janson, Sverker</contributor><creatorcontrib>Ladley, Dan ; Bullock, Seth ; La Poutré, Han ; Sadeh, Norman M. ; Janson, Sverker</creatorcontrib><description>Market theory is often concerned only with centralised markets. In this paper, we consider a market that is distributed over a network, allowing us to characterise spatially (or temporally) segregated markets. The effect of this modification on the behaviour of a market populated by simple trading agents was examined. It was demonstrated that an agent’s ability to identify the optimum market price is positively correlated with its network connectivity. A better connected agent receives more information and, as a result, is better able to judge the market state. The ZIP trading agent algorithm is modified in light of this result. Simulations reveal that trading agents which take account of the quality of the information that they receive are better able to identify the optimum price within a market.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540462422</identifier><identifier>ISBN: 3540462422</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540462439</identifier><identifier>EISBN: 3540462430</identifier><identifier>DOI: 10.1007/11888727_15</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Exact sciences and technology ; Information systems. Data bases ; Learning Rate ; Learning Rule ; Limit Price ; Memory organisation. Data processing ; Optimum Price ; Software ; Trading Agent</subject><ispartof>Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms, 2006, p.200-211</ispartof><rights>Springer-Verlag Berlin Heidelberg 2006</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11888727_15$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11888727_15$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4047,4048,27923,38253,41440,42509</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19104847$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>La Poutré, Han</contributor><contributor>Sadeh, Norman M.</contributor><contributor>Janson, Sverker</contributor><creatorcontrib>Ladley, Dan</creatorcontrib><creatorcontrib>Bullock, Seth</creatorcontrib><title>Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market</title><title>Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms</title><description>Market theory is often concerned only with centralised markets. In this paper, we consider a market that is distributed over a network, allowing us to characterise spatially (or temporally) segregated markets. The effect of this modification on the behaviour of a market populated by simple trading agents was examined. It was demonstrated that an agent’s ability to identify the optimum market price is positively correlated with its network connectivity. A better connected agent receives more information and, as a result, is better able to judge the market state. The ZIP trading agent algorithm is modified in light of this result. Simulations reveal that trading agents which take account of the quality of the information that they receive are better able to identify the optimum price within a market.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Learning Rate</subject><subject>Learning Rule</subject><subject>Limit Price</subject><subject>Memory organisation. Data processing</subject><subject>Optimum Price</subject><subject>Software</subject><subject>Trading Agent</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540462422</isbn><isbn>3540462422</isbn><isbn>9783540462439</isbn><isbn>3540462430</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2006</creationdate><recordtype>book_chapter</recordtype><recordid>eNpVkDtPwzAYRc1LopRO_AEvDAwBf3b8YkNVC5WKAAmExBI5jhNMU6eKjUT_PUFlgOle6R7d4SB0BuQSCJFXAEopSWUBfA9NtFSM5yQXNGd6H41AAGSM5frg30bpIRoRRmimZc6O0UmMH4QQKjUdofnre4dTh5c-JheGdo1nX5u288mHBi9C3fVrk3wX8NOnaX3aYh-wwW-Lx-ymcSHhe9OvXDpFR7Vpo5v85hi9zGfP07ts-XC7mN4ss4ZykjInGaXE6lKUXFRacMYr5wQoy63QXAoLteS1qkpHSlsr5ioAqarKlbWxAz5G57vfjYnWtHVvgvWx2PR-bfptARpIrnI5cBc7Lg5TaFxflF23igWQ4kdk8Uck-waOK180</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Ladley, Dan</creator><creator>Bullock, Seth</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market</title><author>Ladley, Dan ; Bullock, Seth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g250t-e73220c9b6b56d96535dee618c5c69576c1f75f8dbe0bcf83ed1178ddebfac653</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Exact sciences and technology</topic><topic>Information systems. Data bases</topic><topic>Learning Rate</topic><topic>Learning Rule</topic><topic>Limit Price</topic><topic>Memory organisation. Data processing</topic><topic>Optimum Price</topic><topic>Software</topic><topic>Trading Agent</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ladley, Dan</creatorcontrib><creatorcontrib>Bullock, Seth</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ladley, Dan</au><au>Bullock, Seth</au><au>La Poutré, Han</au><au>Sadeh, Norman M.</au><au>Janson, Sverker</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market</atitle><btitle>Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2006</date><risdate>2006</risdate><spage>200</spage><epage>211</epage><pages>200-211</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540462422</isbn><isbn>3540462422</isbn><eisbn>9783540462439</eisbn><eisbn>3540462430</eisbn><abstract>Market theory is often concerned only with centralised markets. In this paper, we consider a market that is distributed over a network, allowing us to characterise spatially (or temporally) segregated markets. The effect of this modification on the behaviour of a market populated by simple trading agents was examined. It was demonstrated that an agent’s ability to identify the optimum market price is positively correlated with its network connectivity. A better connected agent receives more information and, as a result, is better able to judge the market state. The ZIP trading agent algorithm is modified in light of this result. Simulations reveal that trading agents which take account of the quality of the information that they receive are better able to identify the optimum price within a market.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11888727_15</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0302-9743 |
ispartof | Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms, 2006, p.200-211 |
issn | 0302-9743 1611-3349 |
language | eng |
recordid | cdi_pascalfrancis_primary_19104847 |
source | Springer Books |
subjects | Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Information systems. Data bases Learning Rate Learning Rule Limit Price Memory organisation. Data processing Optimum Price Software Trading Agent |
title | Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T15%3A36%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Who%20to%20Listen%20to:%20Exploiting%20Information%20Quality%20in%20a%20ZIP-Agent%20Market&rft.btitle=Agent-Mediated%20Electronic%20Commerce.%20Designing%20Trading%20Agents%20and%20Mechanisms&rft.au=Ladley,%20Dan&rft.date=2006&rft.spage=200&rft.epage=211&rft.pages=200-211&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=9783540462422&rft.isbn_list=3540462422&rft_id=info:doi/10.1007/11888727_15&rft_dat=%3Cpascalfrancis_sprin%3E19104847%3C/pascalfrancis_sprin%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540462439&rft.eisbn_list=3540462430&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |