Agent-based simulation (ABS) is an

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual, autonomous,
interacting “agents.” Agent-based modeling offers ways to more easily model individual behaviors and
how behaviors affect others in ways that have not been available before. There is much interest in
developing agent-based models for many application problem domains. Applications range from
modeling agent behavior in supply chains and the stock market, to predicting the success of marketing
campaigns and the spread of epidemics, to projecting the future needs of the healthcare system. Progress
in the area suggests that ABS promises to have far-reaching effects on the way that businesses use
computers to support decision-making and researchers use agent-based models as electronic laboratories
to aid in discovery. This brief tutorial introduces agent-based modeling and simulation by describing the
basic ideas of ABS, discussing some applications, and addressing methods for developing agent-based
models.

Resultados (inglés) 1:

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual, autonomous,interacting "agents." Agent-based modeling offers ways to more easily model individual behaviors andHow behaviors affect others in ways that have not been available before. There is much interest indeveloping agent-based models for many application problem domains. Applications range frommodeling agent behavior in supply chains and the stock market, to predicting the success of marketingcampaigns and the spread of epidemics, to projecting the future needs of the healthcare system. Progressin the area suggests that ABS promises to have far-reaching effects on the way that businesses usecomputers to support decision-making and researchers use agent-based models as electronic laboratoriesto aid in discovery. This brief tutorial introduces agent-based modeling and simulation by describing thebasic ideas of ABS, discussing some applications, and methods for developing agent-based addressingmodels.

Resultados (inglés) 2:

Agent-based simulation (ABS) is an approach to modeling systems Comprised single of, autonomous,
interacting "agents." Agent-based modeling offers ways to more Easily model Single behaviors and
how behaviors Affect others in ways That Have not Been available before. There is much interest in
Developing agent-based models for many application domains problem. Applications range from
modeling agent behavior in supply chains and the stock market, to predicting the success of marketing
Campaigns and the spread of epidemics, to projecting the future needs of the healthcare system. Progress
in the area Suggests That ABS promises To have far-reaching effects on the way That Businesses use
computers to support decision-making and Researchers use agent-based models as electronic laboratories
to aid in discovery. This brief tutorial agent-based modeling enter and simulation by Describing the
basic thoughts of ABS, discussing some applications, and addressing methods for Developing agent-based
models.

Resultados (inglés) 3:

Agent Based Simulation (ABS) is an approach to Modeling Systems comprised of individual, Autonomous,"Interacting agents. Agent Based Modeling offers ways to model individual behaviors and more easilyHow behaviors affect others in ways that have not been available before. There is much interest inDeveloping Agent - based models for many Application problem Domains. Applications range fromModeling Agent Behavior in supply chains and The Stock Market, to Predicting the success of MarketingCampaigns and the spread of epidemics, to projecting the future needs of the Healthcare System. ProgressIn the area suggests that ABS promises to have far-reaching effects on the way that businesses useComputers to support Decision Making and researchers use Agent Based Models as electronic LaboratoriesTo aid in Discovery. This brief tutorial introduces Agent - Based Modeling and Simulation by describing theBasic ideas of ABS, discussing some applications, and addressing methods for Developing Agent BasedModels.