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Re-simulating Events Data: Massive Multiagent Computational International Relations Models from Events Data |
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Abstract:
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This proposal contends that Agent-Based Modeling of Complex Adaptive Systems should use rule-based (as opposed to algorithmic) decisionmaking in simulating international relations phenomena. Creating models using rule-based behaviors makes it possible to create simulations that are driven by real-world data. In order to construct such a simulation, a body of rules will be extracted from an existing events dataset. These rules will then be used to populate the ideaspace of a massive multiagent simulation in order to determine if the rules in turn produce patterns that the initial events data describes. In effect, the events data will be re-simulated, and new virtual histories will be created. By examining these new virtual histories, it will become possible to determine if cognitively complex massive multiagent models are an effective means by which the causal processes behind events data can be examined by studying the resulting virtual histories created in the simulation space. |
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agent (106), simul (91), strategi (74), rule (62), model (61), system (53), complex (51), event (48), data (47), adapt (42), order (42), process (42), creat (41), use (39), world (38), learn (37), agentland (35), social (33), ident (33), behavior (33), possibl (31), |
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Association:
Name: International Studies Association
URL: http://www.isanet.org
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Citation:
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MLA Citation:
| Higa, Darold. "Re-simulating Events Data: Massive Multiagent Computational International Relations Models from Events Data" Paper presented at the annual meeting of the International Studies Association, Hilton Hawaiian Village, Honolulu, Hawaii, Mar 05, 2005 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p72039_index.html> |
APA Citation:
| Higa, D. K. , 2005-03-05 "Re-simulating Events Data: Massive Multiagent Computational International Relations Models from Events Data" Paper presented at the annual meeting of the International Studies Association, Hilton Hawaiian Village, Honolulu, Hawaii Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p72039_index.html |
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This proposal contends that Agent-Based Modeling of Complex Adaptive Systems should use rule-based (as opposed to algorithmic) decisionmaking in simulating international relations phenomena. Creating models using rule-based behaviors makes it possible to create simulations that are driven by real-world data. In order to construct such a simulation, a body of rules will be extracted from an existing events dataset. These rules will then be used to populate the ideaspace of a massive multiagent simulation in order to determine if the rules in turn produce patterns that the initial events data describes. In effect, the events data will be re-simulated, and new virtual histories will be created. By examining these new virtual histories, it will become possible to determine if cognitively complex massive multiagent models are an effective means by which the causal processes behind events data can be examined by studying the resulting virtual histories created in the simulation space. |
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7606 |
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| DRAFT Re-simulating Events Data: Massive Multiagent Computational International Relations Models from Events Data International Studies Association Honolulu 2005 Darold Higa University of Southern California School of International Relations dhiga@usc.edu or dhiga@cyberianzone.com DRAFT Abstract This proposal contends that Agent-Based Modeling of Complex Adaptive Systems should use rule-based decisionmaking in simulating international relations phenomena. A distinction must be made however between adaptive and nonadaptive emergent systems. Creating models using adaptive agents and rule-based behaviors makes it possible to create simulations that |
| of the simulation tools and hopefully produce ample material for compilation into book form. I believe that these modest goals will provide a wealth of new possibilities for the exploration of theories in international relations. An expansion of this simulation could allow the rigorous testing of a multitude of ideas creating a virtual sandbox for theory experimentation and validation. Future versions of agentLand can offer insight into other issue areas and with an expanded vocabulary it is possible to |
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