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Legéndi, Richárd O., Gulyás, László, Bocsi, Rajmund and Máhr, Tamás (2009), "Modeling Autonomous Adaptive Agents with Functional Language for Simulations", Progress in Artificial Intelligence, Lecture Notes in Computer Science, 5816, Springer.

Abstract:
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 objectoriented, functional and procedural languages to provide fexibility 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.

Keywords:
functional programming, agent-based simulations, multiformalism, El Farol Bar problem

Notes:
ISBN: 978-3-642-04685-8

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