The Robot in the Swarm: An Investigation into Agent Embodiment within Virtual Robotic Swarms
This paper explores the notion of ‘degree of embodiment’ within the context of autonomous agent research, specifically within swarms of virtual robotic agents. Swarms of virtual robots with systematically varied degrees of embodiment are designed and implemented, and a 3D world created for them. Exp...
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description | This paper explores the notion of ‘degree of embodiment’ within the context of autonomous agent research, specifically within swarms of virtual robotic agents. Swarms of virtual robots with systematically varied degrees of embodiment are designed and implemented, and a 3D world created for them. Experimental simulations are then carried out wherein groups of these robots perform swarm tasks, and levels of performance for each group are measured and analysed. Analysis of this data suggests that there is no simple linear or monotonic correlation between degree of agent embodiment and swarm performance (in this particular virtual environment), but rather that an ‘ideal’ degree of embodiment exists to create a superior swarm behaviour for a given task in a given environment. |
doi_str_mv | 10.1007/978-3-540-39432-7_89 |
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Swarms of virtual robots with systematically varied degrees of embodiment are designed and implemented, and a 3D world created for them. Experimental simulations are then carried out wherein groups of these robots perform swarm tasks, and levels of performance for each group are measured and analysed. Analysis of this data suggests that there is no simple linear or monotonic correlation between degree of agent embodiment and swarm performance (in this particular virtual environment), but rather that an ‘ideal’ degree of embodiment exists to create a superior swarm behaviour for a given task in a given environment.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540200574</identifier><identifier>ISBN: 3540200576</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 354039432X</identifier><identifier>EISBN: 9783540394327</identifier><identifier>DOI: 10.1007/978-3-540-39432-7_89</identifier><identifier>OCLC: 934981794</identifier><identifier>LCCallNum: Q334-342</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Control theory. Systems ; Controller Iteration ; Exact sciences and technology ; Learning and adaptive systems ; Robotic Agent ; Robotics ; Sensor Range ; Sensory Channel ; Virtual Robot</subject><ispartof>Advances in Artificial Life, 2003, Vol.2801, p.829-838</ispartof><rights>Springer-Verlag Berlin Heidelberg 2003</rights><rights>2004 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>$$Uhttps://ebookcentral.proquest.com/covers/3088925-l.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/978-3-540-39432-7_89$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-540-39432-7_89$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,776,777,781,786,787,790,4036,4037,27906,38236,41423,42492</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15530209$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Ziegler, Jens</contributor><contributor>Banzhaf, Wolfgang</contributor><contributor>Christaller, Thomas</contributor><contributor>Kim, Jan, T</contributor><contributor>Dittrich, Peter</contributor><contributor>Banzhaf, Wolfgang</contributor><contributor>Ziegler, Jens</contributor><contributor>Christaller, Thomas</contributor><contributor>Kim, Jan T.</contributor><contributor>Dittrich, Peter</contributor><creatorcontrib>Newton, Adam Lee</creatorcontrib><creatorcontrib>Nehaniv, Chrystopher L.</creatorcontrib><creatorcontrib>Dautenhahn, Kerstin</creatorcontrib><title>The Robot in the Swarm: An Investigation into Agent Embodiment within Virtual Robotic Swarms</title><title>Advances in Artificial Life</title><description>This paper explores the notion of ‘degree of embodiment’ within the context of autonomous agent research, specifically within swarms of virtual robotic agents. Swarms of virtual robots with systematically varied degrees of embodiment are designed and implemented, and a 3D world created for them. Experimental simulations are then carried out wherein groups of these robots perform swarm tasks, and levels of performance for each group are measured and analysed. Analysis of this data suggests that there is no simple linear or monotonic correlation between degree of agent embodiment and swarm performance (in this particular virtual environment), but rather that an ‘ideal’ degree of embodiment exists to create a superior swarm behaviour for a given task in a given environment.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Controller Iteration</subject><subject>Exact sciences and technology</subject><subject>Learning and adaptive systems</subject><subject>Robotic Agent</subject><subject>Robotics</subject><subject>Sensor Range</subject><subject>Sensory Channel</subject><subject>Virtual Robot</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540200574</isbn><isbn>3540200576</isbn><isbn>354039432X</isbn><isbn>9783540394327</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2003</creationdate><recordtype>book_chapter</recordtype><recordid>eNotkE1vEzEQhg0F1FDyDzjshaNh7FnHNreoakulSkilIA5IltfrTQzJbrBdqv57Zpv6YnveD2kext4L-CgA9CerDUeuWuBoW5RcO2NfsLdIk6fBz5dsIVZCcMTWnrAl-WdNAijdvmILQJDc6hbfsIUlixHatqdsWcpvoIMSjJEL9utuG5vbqZtqk8am0ufbg8_7z816bK7Hf7HUtPE1TSPJdWrWmzjW5mLfTX3az8-HVLcU_JFyvfe7Y1MKx5Lyjr0e_K7E5fN9xr5fXtydf-E3X6-uz9c3_CA1VG76lVEoemnkMGBYQUQQRkTRWeNXXafkANEOqKFvQfWoRAgQog-6N7Qu4Bn7cOw9-BL8bsh-DKm4Q057nx-dUIpggCWfPPoKSeMmZtdN05_iBLiZuSOGDh1RdE-I3cycQvhcnqe_9wTExTkVaPvsd2HrDzXm4pB4WqmcVc60Cv8D5GJ-_Q</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Newton, Adam Lee</creator><creator>Nehaniv, Chrystopher L.</creator><creator>Dautenhahn, Kerstin</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2003</creationdate><title>The Robot in the Swarm: An Investigation into Agent Embodiment within Virtual Robotic Swarms</title><author>Newton, Adam Lee ; Nehaniv, Chrystopher L. ; Dautenhahn, Kerstin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p270t-8d68531d282ff3c60e30181e1b98a6bb52f0e9f370d405d351cc0ceac7d800503</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Controller Iteration</topic><topic>Exact sciences and technology</topic><topic>Learning and adaptive systems</topic><topic>Robotic Agent</topic><topic>Robotics</topic><topic>Sensor Range</topic><topic>Sensory Channel</topic><topic>Virtual Robot</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Newton, Adam Lee</creatorcontrib><creatorcontrib>Nehaniv, Chrystopher L.</creatorcontrib><creatorcontrib>Dautenhahn, Kerstin</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Newton, Adam Lee</au><au>Nehaniv, Chrystopher L.</au><au>Dautenhahn, Kerstin</au><au>Ziegler, Jens</au><au>Banzhaf, Wolfgang</au><au>Christaller, Thomas</au><au>Kim, Jan, T</au><au>Dittrich, Peter</au><au>Banzhaf, Wolfgang</au><au>Ziegler, Jens</au><au>Christaller, Thomas</au><au>Kim, Jan T.</au><au>Dittrich, Peter</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>The Robot in the Swarm: An Investigation into Agent Embodiment within Virtual Robotic Swarms</atitle><btitle>Advances in Artificial Life</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2003</date><risdate>2003</risdate><volume>2801</volume><spage>829</spage><epage>838</epage><pages>829-838</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540200574</isbn><isbn>3540200576</isbn><eisbn>354039432X</eisbn><eisbn>9783540394327</eisbn><abstract>This paper explores the notion of ‘degree of embodiment’ within the context of autonomous agent research, specifically within swarms of virtual robotic agents. Swarms of virtual robots with systematically varied degrees of embodiment are designed and implemented, and a 3D world created for them. Experimental simulations are then carried out wherein groups of these robots perform swarm tasks, and levels of performance for each group are measured and analysed. Analysis of this data suggests that there is no simple linear or monotonic correlation between degree of agent embodiment and swarm performance (in this particular virtual environment), but rather that an ‘ideal’ degree of embodiment exists to create a superior swarm behaviour for a given task in a given environment.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/978-3-540-39432-7_89</doi><oclcid>934981794</oclcid><tpages>10</tpages></addata></record> |
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ispartof | Advances in Artificial Life, 2003, Vol.2801, p.829-838 |
issn | 0302-9743 1611-3349 |
language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Control theory. Systems Controller Iteration Exact sciences and technology Learning and adaptive systems Robotic Agent Robotics Sensor Range Sensory Channel Virtual Robot |
title | The Robot in the Swarm: An Investigation into Agent Embodiment within Virtual Robotic Swarms |
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