Individual Behavior Simulation Based on Grid Object and Agent Model

For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connec...
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Autor*in:	Yiquan Song [verfasserIn] Lei Niu [verfasserIn] Yi Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	grid object grid object and agent model individual behavior simulation

Übergeordnetes Werk:	In: ISPRS International Journal of Geo-Information - MDPI AG, 2012, 8(2019), 9, p 388
Übergeordnetes Werk:	volume:8 ; year:2019 ; number:9, p 388

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ijgi8090388

Katalog-ID:	DOAJ056851839

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allfields	10.3390/ijgi8090388 doi (DE-627)DOAJ056851839 (DE-599)DOAJ4515755442ad485fabbec9e459f98c9f DE-627 ger DE-627 rakwb eng G1-922 Yiquan Song verfasserin aut Individual Behavior Simulation Based on Grid Object and Agent Model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios. grid object grid object and agent model individual behavior simulation Geography (General) Lei Niu verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 8(2019), 9, p 388 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:8 year:2019 number:9, p 388 https://doi.org/10.3390/ijgi8090388 kostenfrei https://doaj.org/article/4515755442ad485fabbec9e459f98c9f kostenfrei https://www.mdpi.com/2220-9964/8/9/388 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 8 2019 9, p 388
spelling	10.3390/ijgi8090388 doi (DE-627)DOAJ056851839 (DE-599)DOAJ4515755442ad485fabbec9e459f98c9f DE-627 ger DE-627 rakwb eng G1-922 Yiquan Song verfasserin aut Individual Behavior Simulation Based on Grid Object and Agent Model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios. grid object grid object and agent model individual behavior simulation Geography (General) Lei Niu verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 8(2019), 9, p 388 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:8 year:2019 number:9, p 388 https://doi.org/10.3390/ijgi8090388 kostenfrei https://doaj.org/article/4515755442ad485fabbec9e459f98c9f kostenfrei https://www.mdpi.com/2220-9964/8/9/388 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 8 2019 9, p 388
allfields_unstemmed	10.3390/ijgi8090388 doi (DE-627)DOAJ056851839 (DE-599)DOAJ4515755442ad485fabbec9e459f98c9f DE-627 ger DE-627 rakwb eng G1-922 Yiquan Song verfasserin aut Individual Behavior Simulation Based on Grid Object and Agent Model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios. grid object grid object and agent model individual behavior simulation Geography (General) Lei Niu verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 8(2019), 9, p 388 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:8 year:2019 number:9, p 388 https://doi.org/10.3390/ijgi8090388 kostenfrei https://doaj.org/article/4515755442ad485fabbec9e459f98c9f kostenfrei https://www.mdpi.com/2220-9964/8/9/388 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 8 2019 9, p 388
allfieldsGer	10.3390/ijgi8090388 doi (DE-627)DOAJ056851839 (DE-599)DOAJ4515755442ad485fabbec9e459f98c9f DE-627 ger DE-627 rakwb eng G1-922 Yiquan Song verfasserin aut Individual Behavior Simulation Based on Grid Object and Agent Model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios. grid object grid object and agent model individual behavior simulation Geography (General) Lei Niu verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 8(2019), 9, p 388 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:8 year:2019 number:9, p 388 https://doi.org/10.3390/ijgi8090388 kostenfrei https://doaj.org/article/4515755442ad485fabbec9e459f98c9f kostenfrei https://www.mdpi.com/2220-9964/8/9/388 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 8 2019 9, p 388
allfieldsSound	10.3390/ijgi8090388 doi (DE-627)DOAJ056851839 (DE-599)DOAJ4515755442ad485fabbec9e459f98c9f DE-627 ger DE-627 rakwb eng G1-922 Yiquan Song verfasserin aut Individual Behavior Simulation Based on Grid Object and Agent Model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios. grid object grid object and agent model individual behavior simulation Geography (General) Lei Niu verfasserin aut Yi Li verfasserin aut In ISPRS International Journal of Geo-Information MDPI AG, 2012 8(2019), 9, p 388 (DE-627)689130961 (DE-600)2655790-3 22209964 nnns volume:8 year:2019 number:9, p 388 https://doi.org/10.3390/ijgi8090388 kostenfrei https://doaj.org/article/4515755442ad485fabbec9e459f98c9f kostenfrei https://www.mdpi.com/2220-9964/8/9/388 kostenfrei https://doaj.org/toc/2220-9964 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 8 2019 9, p 388
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authorswithroles_txt_mv	Yiquan Song @@aut@@ Lei Niu @@aut@@ Yi Li @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	Yiquan Song
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topic_title	G1-922 Individual Behavior Simulation Based on Grid Object and Agent Model grid object grid object and agent model individual behavior simulation
topic	misc G1-922 misc grid object misc grid object and agent model misc individual behavior simulation misc Geography (General)
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title	Individual Behavior Simulation Based on Grid Object and Agent Model
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title_auth	Individual Behavior Simulation Based on Grid Object and Agent Model
abstract	For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios.
abstractGer	For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios.
abstract_unstemmed	For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios.
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title_short	Individual Behavior Simulation Based on Grid Object and Agent Model
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