Abstract
MAML (Multi-Agent Modeling Language) is a macro-language for Swarm. Its aim is to ease the creation of the most common set of agent-based models by providing a couple of high level constructs and structures in the form of specialized keywords. In this paper we introduce the concepts of MAML through an extension of Chris Preist’s auction model on automated trading.
The original model proposes a persistent shout double auction setup for automated business-to-business electronic trading in which seller and buyer agents trade with an abstract good on a daily basis, one unit a day. Our version of the model extends the original setup in three ways. First, it relaxes the one-unit-a-day constraint. Secondly, it allows for the fluctuation of the supply and the demand by letting agents to enter and leave the market. Finally, it introduces time pressure on agents by setting a limit by which the agents must buy or sell the intended amount of good.
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Gulyás, L., Vincze, T. (2002). Automated Trading Experiments with Maml. In: Luna, F., Perrone, A. (eds) Agent-Based Methods in Economics and Finance. Advances in Computational Economics, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0785-7_2
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DOI: https://doi.org/10.1007/978-1-4615-0785-7_2
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