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Research on Public Science Literacy System Based on Multi-agent Simulation Technique

Author: WangWenShou
Tutor: JinShiYao
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: Complex systems Modeling and Simulation of Multi-Agent Causal sequence Simulation Agent Time Management Public scientific literacy
CLC: TP391.9
Type: Master's thesis
Year: 2011
Downloads: 11
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Abstract


Multi-agent modeling and simulation methods for the theoretical basis of complex adaptive systems theory provides a study of complex systems of new ideas , and is currently the main method to study complex systems . This paper studies the complex system of multi-agent distributed simulation platform key technologies and architecture . First , complex adaptive systems theory as a guide to analyze the characteristics of a complex system of multi-agent simulation , support technical from basic support technology , simulation , modeling support of multi-agent technology , simulation means of observation and intervention in four areas outlined a multi- the key technology in the complex system simulation platform agent , and to study the architecture of complex multi-agent system simulation platform . Secondly, to study and propose a causal sequence distributed simulation the Agent time management algorithm . Poke sequence analyzed time management algorithm shortcomings , pointed out the necessity of time management in distributed simulation ; describes the research progress of existing causal sequence time management algorithm ; existing causal sequence time management algorithms MSES algorithm based on the causal sequence distributed simulation the agent time management algorithm ; evaluation by testing the effectiveness of the algorithm . Again , the application AdvancedJCass simulation platform , research and Hunan public scientific literacy trends forecast the countermeasures system simulation . Prediction and Countermeasures Analysis of the trend of public scientific literacy is a typical complex issues ; holistic modeling Hunan Province science system , specifically given the environment of the system model , various Agent model and external incentive model ; according to real system data to verify the reliability of the platform , simulation initialization and run ; to expand AdvancedJCass platform .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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