Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Intelligent software agents
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Modelling and Design of Multi-Agent Systems
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
The influence of prior knowledge on the expected performance of a classifier
Pattern Recognition Letters
A decision support system for multiattribute utility evaluation based on imprecise assignments
Decision Support Systems
The evolution of rules for conflicts resolution in self-organizing teams
Expert Systems with Applications: An International Journal
An agent-based model of make-to-order supply chains
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Information Sciences: an International Journal
Environmental Modelling & Software
Environmental Modelling & Software
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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.