SDLMAS: A Scenario Modeling Framework for Multi-Agent Systems
Igor Čavrak (University of Zagreb, Croatia)
Armin Stranjak (Rolls-Royce plc, United Kingdom)
Mario Žagar (University of Zagreb, Croatia)
Abstract: In this paper we analyze existing methods and languages for modeling agent interactions and propose a SDLMAS Framework for rapid design, development and runtime support of multi-agent systems. The framework provides a simple but expressive declarative language for modeling complex interactions among agents. Proposed language is based on scenarios, sequences of conversation actions directed towards achieving a goal. Scenario descriptions are converted into program code for a chosen target agent platform and system execution is supported by a runtime framework.
Keywords: Interaction, Language, Multi-Agent System, Scenario
Categories: D.2.0, I.2.11, I.2.5, I.6.0