Integrating evolutionary computing and the SADDE methodology

This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent System (MAS) must fullfil to an actual society of interacting agents. We report the use of evolutionary programming techniques to tune the parameters of the populations of agents so their aggregated behaviour maximaly approaches the desired global properties as specified by the EBM. Categories and Subject Descriptors I.2 [Computing Methodologies]: Artificial Intelligence; D.2 [Software]: Software Engineering; I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—intelligent agents, multiagent systems General Terms Experimentation Keywords Evolutionary computing, MAS specification methodology

• Type: Conference
• Year: 2003
• Where: ATAL
• Authors: Carles Sierra, Jordi Sabater, Jaume Agustí-Cullell, Pere Garcia
• Keywords: Artificial Intelligence, ATAL 2003, Global Properties, MAS Specification Methodology