ABCDE: Agent Based Chaotic Dynamic Emergence

This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price sequences in a simple model of interacting consumers and vendors, both equipped with minimal rules. "Swarm" is the framework of the model (www.santafe.edu/projects/swarm), a simulation tool with a strong object oriented structure, also very useful to separate in a clear way the model level from the level of the observer. Swarm if fully programmable in Objective C, with many powerful libraries, aimed at modeling the objects and the schedules of our experiments, with lists and arrays where necessary. Finally we introduce a tool (Cross Target method: CT), useful in building artificial laboratories, for experiments with learning, self-developed consistency and interaction of agents in artificial worlds, in order to observe the emergence of complexity without a priori behavioral rules: The perspective of...

• Type: Conference
• Year: 1998
• Where: MABS
• Authors: Pietro Terna
• Keywords: Chaotic Price Sequences, Intelligent Agents, MABS 1998, Object Oriented Structure, Priori Behavioral Rules