AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
Autonomous Agents and Multi-Agent Systems
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Intention Structures Modelling Using Object Oriented Petri Nets
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
Practical extensions in agent programming languages
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Simulation for Wireless Sensor Networks with Intelligent Nodes
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
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When developing a Multi-Agent System (MAS), we need, among others, to build agent architectures together with some decision algorithms and communication protocols. Before such systems are realised in a real world, we should sufficiently test and verify their behaviour. The presented text describes a new approach to building artificial agents and MASs using the methodology of model-based design. In this methodology some models are used for testing the behaviour of particular elements as well as for testing the behaviour of the system as a whole – in both cases by simulation. Our aim is to develop a tool that would allow model-based design of systems with artificial agents. For this reason we have been building an application called Tool for Multi-Agent System Simulation (T-Mass) which is aimed at model-based development. As a part of the tool we also developed a language called Agent Low-Level Language (ALLL), by which agents' behaviour is controlled.