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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Modeling Autonomous Adaptive Agents with Functional Language for Simulations
verfasst von : Richárd Legéndi, László Gulyás, Rajmund Bocsi, Tamás Máhr
Erschienen in: Progress in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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The basic concept of agent-based modeling is to create adaptive agents to operate in a changing environment. Agents make autonomous decisions and modify their environment through continuous interactions. The Functional Agent-Based Language for Simulations (FABLES) is a special purpose language for ABM that is intended to reduce programming skills required to create simulations. The aim of FABLES is to allow modelers to focus on modeling, and not on programming. This paper provides an overview of FABLES, explaining the traits and the design concepts of this hybrid language that merges features of object-oriented, functional and procedural languages to provide flexibility in model design. To demonstrate some of these issues, we describe modeling with FABLES via the popular El Farol Bar problem from a user perspective, by means of example.