Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
On the transition to agent-based modeling: implementation strategies from variables to agents
Social Science Computer Review - Computer-based methods: State of the art
Distributed simulation of hybrid systems with AnyLogic and HLA
Future Generation Computer Systems - Parallel computing technologies (PaCT-2001)
Minority Games: Interacting Agents in Financial Markets (Oxford Finance Series)
Minority Games: Interacting Agents in Financial Markets (Oxford Finance Series)
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Inductive reasoning and bounded rationality reconsidered
IEEE Transactions on Evolutionary Computation
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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.