Representing and executing agent-based systems
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
The Unified Modeling Language user guide
The Unified Modeling Language user guide
The object constraint language: precise modeling with UML
The object constraint language: precise modeling with UML
A methodology for agent-oriented analysis and design
Proceedings of the third annual conference on Autonomous Agents
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Object-Oriented and Agent-Oriented Simulation: Implications for Social Science Application
Social Science Microsimulation [Dagstuhl Seminar, May, 1995]
PECS: A Reference Model for the Simulation of Multi-Agent Systems
Tools and Techniques for Social Science Simulation
From Agent Theory to Agent Construction: A Case Study
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
A Survey of Agent-Oriented Methodologies
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Architectures and applications of intelligent agents: A survey
The Knowledge Engineering Review
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Controlling an Interactive Game with a Multi-agent Based Normative Organisational Model
Coordination, Organizations, Institutions, and Norms in Agent Systems II
A survey of customization support in agent-based business process simulation tools
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be produced rather easily. However, for real world applications they must satisfy some requirements concerning verification, validation and reproducibility. Using a standard framework for designing a multi-agent model one can gain further advantages like fast learnability, wide understandability and possible transfer.In this paper we show how UML can be used to specify behavior-oriented multi-agent models. Therefore we focus on activity graphs and the representation of different forms of interactions in these graphs.