An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures
Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sindiy, Oleg V. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Amarican Astronautical Society, Inc 2009 |
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| Übergeordnetes Werk: |
Enthalten in: The Journal of the Astronautical Sciences - Springer-Verlag, 2006, 57(2009), 3 vom: Juli, Seite 579-606 |
|---|---|
| Übergeordnetes Werk: |
volume:57 ; year:2009 ; number:3 ; month:07 ; pages:579-606 |
| Links: |
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| DOI / URN: |
10.1007/BF03321518 |
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| 520 | |a Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. | ||
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10.1007/BF03321518 doi (DE-627)SPR036440167 (SPR)BF03321518-e DE-627 ger DE-627 rakwb eng Sindiy, Oleg V. verfasserin aut An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Amarican Astronautical Society, Inc 2009 Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. Solar System (dpeaa)DE-He213 Space Exploration (dpeaa)DE-He213 Service Mission (dpeaa)DE-He213 Supply Production (dpeaa)DE-He213 Exploration Mission (dpeaa)DE-He213 DeLaurentis, Daniel A. aut Stein, William B. aut Enthalten in The Journal of the Astronautical Sciences Springer-Verlag, 2006 57(2009), 3 vom: Juli, Seite 579-606 (DE-627)SPR036426385 nnns volume:57 year:2009 number:3 month:07 pages:579-606 https://dx.doi.org/10.1007/BF03321518 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 57 2009 3 07 579-606 |
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10.1007/BF03321518 doi (DE-627)SPR036440167 (SPR)BF03321518-e DE-627 ger DE-627 rakwb eng Sindiy, Oleg V. verfasserin aut An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Amarican Astronautical Society, Inc 2009 Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. Solar System (dpeaa)DE-He213 Space Exploration (dpeaa)DE-He213 Service Mission (dpeaa)DE-He213 Supply Production (dpeaa)DE-He213 Exploration Mission (dpeaa)DE-He213 DeLaurentis, Daniel A. aut Stein, William B. aut Enthalten in The Journal of the Astronautical Sciences Springer-Verlag, 2006 57(2009), 3 vom: Juli, Seite 579-606 (DE-627)SPR036426385 nnns volume:57 year:2009 number:3 month:07 pages:579-606 https://dx.doi.org/10.1007/BF03321518 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 57 2009 3 07 579-606 |
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10.1007/BF03321518 doi (DE-627)SPR036440167 (SPR)BF03321518-e DE-627 ger DE-627 rakwb eng Sindiy, Oleg V. verfasserin aut An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Amarican Astronautical Society, Inc 2009 Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. Solar System (dpeaa)DE-He213 Space Exploration (dpeaa)DE-He213 Service Mission (dpeaa)DE-He213 Supply Production (dpeaa)DE-He213 Exploration Mission (dpeaa)DE-He213 DeLaurentis, Daniel A. aut Stein, William B. aut Enthalten in The Journal of the Astronautical Sciences Springer-Verlag, 2006 57(2009), 3 vom: Juli, Seite 579-606 (DE-627)SPR036426385 nnns volume:57 year:2009 number:3 month:07 pages:579-606 https://dx.doi.org/10.1007/BF03321518 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 57 2009 3 07 579-606 |
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10.1007/BF03321518 doi (DE-627)SPR036440167 (SPR)BF03321518-e DE-627 ger DE-627 rakwb eng Sindiy, Oleg V. verfasserin aut An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Amarican Astronautical Society, Inc 2009 Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. Solar System (dpeaa)DE-He213 Space Exploration (dpeaa)DE-He213 Service Mission (dpeaa)DE-He213 Supply Production (dpeaa)DE-He213 Exploration Mission (dpeaa)DE-He213 DeLaurentis, Daniel A. aut Stein, William B. aut Enthalten in The Journal of the Astronautical Sciences Springer-Verlag, 2006 57(2009), 3 vom: Juli, Seite 579-606 (DE-627)SPR036426385 nnns volume:57 year:2009 number:3 month:07 pages:579-606 https://dx.doi.org/10.1007/BF03321518 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 57 2009 3 07 579-606 |
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Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. © Amarican Astronautical Society, Inc 2009 |
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Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. © Amarican Astronautical Society, Inc 2009 |
| abstract_unstemmed |
Abstract A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings. © Amarican Astronautical Society, Inc 2009 |
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An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures |
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