A Communication Choreography for Discrete Step MultiAgent Social Simulations

Considerable research has been done on agent communications, yet in discrete step social agent simulations there is no standardized work done to facilitate reactive agent-to-agent communication. We propose an agent-to-agent interaction framework that preserves the integrity of the communication process in an artificial society in a \u27time-stepped\u27 discrete event simulator. We introduce the modeling language called Agent Choreography Description Language (ACDL) in order to model the communication. It serves in describing the common and collaborative observable behaviour of multiple agents that need to interact in a peer to peer manner to achieve some goal. ACDL further adopts the parallel and interaction activities to model proper communication in an artificial society. The ACDL communication framework is implemented and tested in REPAST. It employs a communication manager to generate and execute ACDL specification according to agent\u27s communication needs

Cooperation and Communication in Evolving Artificial Societies

This paper reports on experiments with an artificial society simulation package. This work is part of a larger project whose main goal is to investigate the emergence of cooperation and communication in response of (scalable) environmental challenges. The specific goals of the experiments reported here include 1) the study a number of extensions of the classical SugarScape model, 2) to compare two radically different approaches to communication among the individuals of the population. Our results demonstrate that a number of the presented extensions should be taken up in future experiments in artificial societies, and that the decentralised communication protocol has negative effects on the system behaviour