Agent vision in multi-agent based simulation systems

Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-det...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kuiper, Dane M. [verfasserIn] Wenkstern, Rym Z. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Virtual agents Multi-agent based simulation systems Virtual agent vision algorithms Virtual agent perception

Übergeordnetes Werk:	Enthalten in: Autonomous agents and multi-agent systems - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998, 29(2014), 2 vom: 22. Feb., Seite 161-191
Übergeordnetes Werk:	volume:29 ; year:2014 ; number:2 ; day:22 ; month:02 ; pages:161-191

Links:	Volltext

DOI / URN:	10.1007/s10458-014-9250-8

Katalog-ID:	SPR010185607

Internformat


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allfields	10.1007/s10458-014-9250-8 doi (DE-627)SPR010185607 (SPR)s10458-014-9250-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.72 bkl Kuiper, Dane M. verfasserin aut Agent vision in multi-agent based simulation systems 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework. Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213 Wenkstern, Rym Z. verfasserin aut Enthalten in Autonomous agents and multi-agent systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998 29(2014), 2 vom: 22. Feb., Seite 161-191 (DE-627)320524337 (DE-600)2014972-4 1573-7454 nnns volume:29 year:2014 number:2 day:22 month:02 pages:161-191 https://dx.doi.org/10.1007/s10458-014-9250-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.72 ASE AR 29 2014 2 22 02 161-191
spelling	10.1007/s10458-014-9250-8 doi (DE-627)SPR010185607 (SPR)s10458-014-9250-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.72 bkl Kuiper, Dane M. verfasserin aut Agent vision in multi-agent based simulation systems 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework. Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213 Wenkstern, Rym Z. verfasserin aut Enthalten in Autonomous agents and multi-agent systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998 29(2014), 2 vom: 22. Feb., Seite 161-191 (DE-627)320524337 (DE-600)2014972-4 1573-7454 nnns volume:29 year:2014 number:2 day:22 month:02 pages:161-191 https://dx.doi.org/10.1007/s10458-014-9250-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.72 ASE AR 29 2014 2 22 02 161-191
allfields_unstemmed	10.1007/s10458-014-9250-8 doi (DE-627)SPR010185607 (SPR)s10458-014-9250-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.72 bkl Kuiper, Dane M. verfasserin aut Agent vision in multi-agent based simulation systems 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework. Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213 Wenkstern, Rym Z. verfasserin aut Enthalten in Autonomous agents and multi-agent systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998 29(2014), 2 vom: 22. Feb., Seite 161-191 (DE-627)320524337 (DE-600)2014972-4 1573-7454 nnns volume:29 year:2014 number:2 day:22 month:02 pages:161-191 https://dx.doi.org/10.1007/s10458-014-9250-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.72 ASE AR 29 2014 2 22 02 161-191
allfieldsGer	10.1007/s10458-014-9250-8 doi (DE-627)SPR010185607 (SPR)s10458-014-9250-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.72 bkl Kuiper, Dane M. verfasserin aut Agent vision in multi-agent based simulation systems 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework. Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213 Wenkstern, Rym Z. verfasserin aut Enthalten in Autonomous agents and multi-agent systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998 29(2014), 2 vom: 22. Feb., Seite 161-191 (DE-627)320524337 (DE-600)2014972-4 1573-7454 nnns volume:29 year:2014 number:2 day:22 month:02 pages:161-191 https://dx.doi.org/10.1007/s10458-014-9250-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.72 ASE AR 29 2014 2 22 02 161-191
allfieldsSound	10.1007/s10458-014-9250-8 doi (DE-627)SPR010185607 (SPR)s10458-014-9250-8-e DE-627 ger DE-627 rakwb eng 004 ASE 54.72 bkl Kuiper, Dane M. verfasserin aut Agent vision in multi-agent based simulation systems 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework. Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213 Wenkstern, Rym Z. verfasserin aut Enthalten in Autonomous agents and multi-agent systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1998 29(2014), 2 vom: 22. Feb., Seite 161-191 (DE-627)320524337 (DE-600)2014972-4 1573-7454 nnns volume:29 year:2014 number:2 day:22 month:02 pages:161-191 https://dx.doi.org/10.1007/s10458-014-9250-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.72 ASE AR 29 2014 2 22 02 161-191
language	English
source	Enthalten in Autonomous agents and multi-agent systems 29(2014), 2 vom: 22. Feb., Seite 161-191 volume:29 year:2014 number:2 day:22 month:02 pages:161-191
sourceStr	Enthalten in Autonomous agents and multi-agent systems 29(2014), 2 vom: 22. Feb., Seite 161-191 volume:29 year:2014 number:2 day:22 month:02 pages:161-191
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Virtual agents Multi-agent based simulation systems Virtual agent vision algorithms Virtual agent perception
dewey-raw	004
isfreeaccess_bool	false
container_title	Autonomous agents and multi-agent systems
authorswithroles_txt_mv	Kuiper, Dane M. @@aut@@ Wenkstern, Rym Z. @@aut@@
publishDateDaySort_date	2014-02-22T00:00:00Z
hierarchy_top_id	320524337
dewey-sort	14
id	SPR010185607
language_de	englisch
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author	Kuiper, Dane M.
spellingShingle	Kuiper, Dane M. ddc 004 bkl 54.72 misc Virtual agents misc Multi-agent based simulation systems misc Virtual agent vision algorithms misc Virtual agent perception Agent vision in multi-agent based simulation systems
authorStr	Kuiper, Dane M.
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topic_title	004 ASE 54.72 bkl Agent vision in multi-agent based simulation systems Virtual agents (dpeaa)DE-He213 Multi-agent based simulation systems (dpeaa)DE-He213 Virtual agent vision algorithms (dpeaa)DE-He213 Virtual agent perception (dpeaa)DE-He213
topic	ddc 004 bkl 54.72 misc Virtual agents misc Multi-agent based simulation systems misc Virtual agent vision algorithms misc Virtual agent perception
topic_unstemmed	ddc 004 bkl 54.72 misc Virtual agents misc Multi-agent based simulation systems misc Virtual agent vision algorithms misc Virtual agent perception
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title	Agent vision in multi-agent based simulation systems
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title_full	Agent vision in multi-agent based simulation systems
author_sort	Kuiper, Dane M.
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author_browse	Kuiper, Dane M. Wenkstern, Rym Z.
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title_sort	agent vision in multi-agent based simulation systems
title_auth	Agent vision in multi-agent based simulation systems
abstract	Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework.
abstractGer	Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework.
abstract_unstemmed	Abstract In this paper, we propose virtual agent vision perception techniques to approximate realistic vision while maintaining low execution time. We discuss virtual agent vision in large scale multi-agent based simulations where agents are situated in open environments (i.e., inaccessible, non-deterministic, dynamic, continuous). When dealing with open environments, the efficiency of agent vision algorithms is of great importance since every agent’s perception must be calculated in simulated real-time. We discuss optimizations for vision algorithms in DIVAs, a large scale multi-agent based simulation framework.
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title_short	Agent vision in multi-agent based simulation systems
url	https://dx.doi.org/10.1007/s10458-014-9250-8
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author2	Wenkstern, Rym Z.
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doi_str	10.1007/s10458-014-9250-8
up_date	2024-07-03T14:29:57.871Z
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