Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Simulation Modeling Handbook: A Practical Approach
Simulation Modeling Handbook: A Practical Approach
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Using multi-agent potential fields in real-time strategy games
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Modeling and analysis of global epidemiology of avian influenza
Environmental Modelling & Software
Environmental Modelling & Software
A multi-agent system for meteorological radar data management and decision support
Environmental Modelling & Software
Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales
Environmental Modelling & Software
Increasing model efficiency by dynamically changing model representations
Environmental Modelling & Software
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Environmental Modelling & Software
Behaviour and space in agent-based modelling: Poverty patterns in East Kalimantan, Indonesia
Environmental Modelling & Software
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The present work deals with the simulation of a mosquito Aedes aegypti population. The mosquito population was modeled using an individual-based approach. The model consists of agents representing A. aegypti mosquitoes, human beings, some mammals and objects found in urban environments such as walls and water containers. We describe the model which was implemented by multi-agent systems in the Repast framework. Simulations were performed and the results were compared with those obtained in a biological experiment, and data obtained from a local Zoonozes control center. Comparisons between real and simulated data showed high correlation indices. We simulated cases to study whether or not an artificial trap can be effectively used as an active based population control measure. We studied how the number of traps and their localization can affect the population dynamics.