An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill
RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line...
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 | 6 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | |
| container_volume | |
| creator | Mozafari, M. Fard, A.M. Salmani, V. Naghibzadeh, M. |
| description | RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line to shoot, considering player's position, catching and shooting time difference, and distance to target. Two different approaches have been implemented for this purpose. The first one is a simple decision making policy and the latter one takes advantage of statistical measurement and fuzzy decision making. Results show the superiority of the proposed method performance in over our previous work implemented on Nexus 3D RoboSuccer team of Ferdowsi University |
| doi_str_mv | 10.1109/INDCON.2006.302811 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4086282</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4086282</ieee_id><sourcerecordid>4086282</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-391df312dca1c662059cf0628a2c2e6fbb0e7e783d84b3e57341c7da11f5d8383</originalsourceid><addsrcrecordid>eNotjE1PAjEUAGvURET-gF5687T4Xl932x4JiJAgHJaDN1K6XanuB9ldSODXSyJzmcxlGHtGGCKCeZsvJ-PVcigAkiGB0Ig37BGlkBJIgbplA6P0tRODd6wnSMSRkfD1wAZt-wMXZCyJ4h6bjSo-L_dNffQZnx7O5xP_9G5nq9CWPK8bThOe1s75hqehPBS2C3XFR9--6l5bnu7quuPpbyiKJ3af26L1g6v7bD19X49n0WL1MR-PFlEw0EVkMMsJReYsuiQREBuXQyK0FU74JN9uwSuvNGVabsnHiiQ6lVnEPM40aeqzl_9t8N5v9k0obXPaSNCXh6A_AfJOHQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mozafari, M. ; Fard, A.M. ; Salmani, V. ; Naghibzadeh, M.</creator><creatorcontrib>Mozafari, M. ; Fard, A.M. ; Salmani, V. ; Naghibzadeh, M.</creatorcontrib><description>RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line to shoot, considering player's position, catching and shooting time difference, and distance to target. Two different approaches have been implemented for this purpose. The first one is a simple decision making policy and the latter one takes advantage of statistical measurement and fuzzy decision making. Results show the superiority of the proposed method performance in over our previous work implemented on Nexus 3D RoboSuccer team of Ferdowsi University</description><identifier>ISSN: 2325-940X</identifier><identifier>ISBN: 9781424403691</identifier><identifier>ISBN: 1424403693</identifier><identifier>EISBN: 1424403707</identifier><identifier>EISBN: 9781424403707</identifier><identifier>DOI: 10.1109/INDCON.2006.302811</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial intelligence ; Computational modeling ; Decision making ; Fuzzy Decision Making ; Fuzzy systems ; Intelligent robots ; Interpolation ; Multi-gent System ; RoboCup Soccers Simulation ; Shoot ; Software agents ; Software performance ; Uncertainty ; Working environment noise</subject><ispartof>2006 Annual IEEE India Conference, 2006, p.1-6</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/4086282$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4086282$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mozafari, M.</creatorcontrib><creatorcontrib>Fard, A.M.</creatorcontrib><creatorcontrib>Salmani, V.</creatorcontrib><creatorcontrib>Naghibzadeh, M.</creatorcontrib><title>An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill</title><title>2006 Annual IEEE India Conference</title><addtitle>INDCON</addtitle><description>RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line to shoot, considering player's position, catching and shooting time difference, and distance to target. Two different approaches have been implemented for this purpose. The first one is a simple decision making policy and the latter one takes advantage of statistical measurement and fuzzy decision making. Results show the superiority of the proposed method performance in over our previous work implemented on Nexus 3D RoboSuccer team of Ferdowsi University</description><subject>Artificial intelligence</subject><subject>Computational modeling</subject><subject>Decision making</subject><subject>Fuzzy Decision Making</subject><subject>Fuzzy systems</subject><subject>Intelligent robots</subject><subject>Interpolation</subject><subject>Multi-gent System</subject><subject>RoboCup Soccers Simulation</subject><subject>Shoot</subject><subject>Software agents</subject><subject>Software performance</subject><subject>Uncertainty</subject><subject>Working environment noise</subject><issn>2325-940X</issn><isbn>9781424403691</isbn><isbn>1424403693</isbn><isbn>1424403707</isbn><isbn>9781424403707</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjE1PAjEUAGvURET-gF5687T4Xl932x4JiJAgHJaDN1K6XanuB9ldSODXSyJzmcxlGHtGGCKCeZsvJ-PVcigAkiGB0Ig37BGlkBJIgbplA6P0tRODd6wnSMSRkfD1wAZt-wMXZCyJ4h6bjSo-L_dNffQZnx7O5xP_9G5nq9CWPK8bThOe1s75hqehPBS2C3XFR9--6l5bnu7quuPpbyiKJ3af26L1g6v7bD19X49n0WL1MR-PFlEw0EVkMMsJReYsuiQREBuXQyK0FU74JN9uwSuvNGVabsnHiiQ6lVnEPM40aeqzl_9t8N5v9k0obXPaSNCXh6A_AfJOHQ</recordid><startdate>200609</startdate><enddate>200609</enddate><creator>Mozafari, M.</creator><creator>Fard, A.M.</creator><creator>Salmani, V.</creator><creator>Naghibzadeh, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200609</creationdate><title>An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill</title><author>Mozafari, M. ; Fard, A.M. ; Salmani, V. ; Naghibzadeh, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-391df312dca1c662059cf0628a2c2e6fbb0e7e783d84b3e57341c7da11f5d8383</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Artificial intelligence</topic><topic>Computational modeling</topic><topic>Decision making</topic><topic>Fuzzy Decision Making</topic><topic>Fuzzy systems</topic><topic>Intelligent robots</topic><topic>Interpolation</topic><topic>Multi-gent System</topic><topic>RoboCup Soccers Simulation</topic><topic>Shoot</topic><topic>Software agents</topic><topic>Software performance</topic><topic>Uncertainty</topic><topic>Working environment noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Mozafari, M.</creatorcontrib><creatorcontrib>Fard, A.M.</creatorcontrib><creatorcontrib>Salmani, V.</creatorcontrib><creatorcontrib>Naghibzadeh, M.</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 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>Mozafari, M.</au><au>Fard, A.M.</au><au>Salmani, V.</au><au>Naghibzadeh, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill</atitle><btitle>2006 Annual IEEE India Conference</btitle><stitle>INDCON</stitle><date>2006-09</date><risdate>2006</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2325-940X</issn><isbn>9781424403691</isbn><isbn>1424403693</isbn><eisbn>1424403707</eisbn><eisbn>9781424403707</eisbn><abstract>RoboSoccer simulation is a complex multi-agent system in which agents play the role of soccer players and the main goal is to have a perfect domain for research and investigation on artificial intelligence. This paper intends to propose a new scoring module to select the best point on the goal line to shoot, considering player's position, catching and shooting time difference, and distance to target. Two different approaches have been implemented for this purpose. The first one is a simple decision making policy and the latter one takes advantage of statistical measurement and fuzzy decision making. Results show the superiority of the proposed method performance in over our previous work implemented on Nexus 3D RoboSuccer team of Ferdowsi University</abstract><pub>IEEE</pub><doi>10.1109/INDCON.2006.302811</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2325-940X |
| ispartof | 2006 Annual IEEE India Conference, 2006, p.1-6 |
| issn | 2325-940X |
| language | eng |
| recordid | cdi_ieee_primary_4086282 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial intelligence Computational modeling Decision making Fuzzy Decision Making Fuzzy systems Intelligent robots Interpolation Multi-gent System RoboCup Soccers Simulation Shoot Software agents Software performance Uncertainty Working environment noise |
| title | An Improved Fuzzy Mechanism for 3D Soccer Simulation Agent's Shoot Skill |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T06%3A24%3A36IST&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=An%20Improved%20Fuzzy%20Mechanism%20for%203D%20Soccer%20Simulation%20Agent's%20Shoot%20Skill&rft.btitle=2006%20Annual%20IEEE%20India%20Conference&rft.au=Mozafari,%20M.&rft.date=2006-09&rft.spage=1&rft.epage=6&rft.pages=1-6&rft.issn=2325-940X&rft.isbn=9781424403691&rft.isbn_list=1424403693&rft_id=info:doi/10.1109/INDCON.2006.302811&rft_dat=%3Cieee_6IE%3E4086282%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424403707&rft.eisbn_list=9781424403707&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4086282&rfr_iscdi=true |