Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model Export

@article{16423, abstract = {The authors discuss a distributed modeling architecture in a multi-agent-based behavioral economic landscape (MABEL) model that simulates land-use changes over time and space. Based on agent-based modeling methodologies, MABEL presents a bottom-up approach to allow the analysis of dynamic features and relations among geographic, environmental, human, and socioeconomic attributes of landowners, as well as comprehensive relational schematics of land-use change. The authors adopt a distributed modeling architecture (DMA) in MABEL to separate the modeling of agent behaviors in Bayesian belief networks from task-specific simulation scenarios.Through a client-server infrastructure, MABEL provides an efficient and scalable decision request-response mechanism among heterogeneous agents, scenarios, and behavioral models. As an important part of the land-use change model, a market-bidding system and an adaptive land partition algorithm for land transactions are also discussed.}, author = {Lei, Zhen and Pijanowski, Bryan C. and Alexandridis, Konstantinos T. and Olson, Jennifer}, citeulike-article-id = {4215691}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1086874}, journal = {Simulation}, keywords = {abm}, number = {7}, pages = {503--515}, posted-at = {2009-03-24 18:59:58}, priority = {2}, title = {Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model}, url = {http://portal.acm.org/citation.cfm?id=1086874}, volume = {81}, year = {2005} }

TY - JOUR ID - 16423 L3 - citeulike-article-id:4215691 N2 - The authors discuss a distributed modeling architecture in a multi-agent-based behavioral economic landscape (MABEL) model that simulates land-use changes over time and space. Based on agent-based modeling methodologies, MABEL presents a bottom-up approach to allow the analysis of dynamic features and relations among geographic, environmental, human, and socioeconomic attributes of landowners, as well as comprehensive relational schematics of land-use change. The authors adopt a distributed modeling architecture (DMA) in MABEL to separate the modeling of agent behaviors in Bayesian belief networks from task-specific simulation scenarios.Through a client-server infrastructure, MABEL provides an efficient and scalable decision request-response mechanism among heterogeneous agents, scenarios, and behavioral models. As an important part of the land-use change model, a market-bidding system and an adaptive land partition algorithm for land transactions are also discussed. IS - 7 JF - Simulation EP - 515 TI - Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model VL - 81 SP - 503 KW - abm AU - Lei, Zhen AU - Pijanowski, Bryan AU - Alexandridis, Konstantinos AU - Olson, Jennifer PY - 2005/// UR - http://portal.acm.org/citation.cfm?id=1086874 ER -