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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.<\/jats:p>","DOI":"10.1177\/0037549705058067","type":"journal-article","created":{"date-parts":[[2005,9,23]],"date-time":"2005-09-23T05:23:13Z","timestamp":1127452993000},"page":"503-515","source":"Crossref","is-referenced-by-count":24,"title":["Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic                 Landscape (MABEL) Model"],"prefix":"10.1177","volume":"81","author":[{"given":"Zhen","family":"Lei","sequence":"first","affiliation":[{"name":"Krannert School of Management, Purdue University, West Lafayette, IN                         47901 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bryan C.","family":"Pijanowski","sequence":"additional","affiliation":[{"name":"Department of Forestry and Natural Resources, Purdue University, West                         Lafayette, IN 47901, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos T.","family":"Alexandridis","sequence":"additional","affiliation":[{"name":"Department of Forestry and Natural Resources, Purdue University, West                         Lafayette, IN 47901, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Olson","sequence":"additional","affiliation":[{"name":"Department of Geography Michigan State University East Lansing, MI 48824, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2005,7,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1006\/jema.2001.0507"},{"key":"atypb3","volume-title":"Intelligent software agents","author":"Murch, Richard","year":"1999"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3374.001.0001"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1515\/9781400822300"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1038\/35106555"},{"key":"atypb7","first-page":"105","volume-title":"Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes","author":"Harper, Steven J.","year":"2002"},{"key":"atypb8","first-page":"171","volume-title":"Modeling in natural resource management: Development, interpretation, and application","author":"DeAngelis, Donald L.","year":"2001"},{"key":"atypb9","first-page":"365","volume":"81","author":"Holland, J.","year":"1991","journal-title":"American Economic Review"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1016\/j.agee.2003.09.007"},{"key":"atypb11","volume-title":"Multi agent-based environmental landscape (MABEL)\u2014An artificial intelligence simulation model: Some early assessments","author":"Alexandridis, Konstantinos T.","year":"2002"},{"key":"atypb12","unstructured":"Alexandridis, Konstantinos T. and Bryan C. 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