Understanding nonlinear dynamics
Understanding nonlinear dynamics
Business Dynamics
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
The AMAS theory for complex problem solving based on self-organizing cooperative agents
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
Universality in Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Method fragments for agent design methodologies: from standardisation to research
International Journal of Agent-Oriented Software Engineering
Monitoring group behavior in goal-directed agents using co-efficient plan observation
AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
Tracking causality by visualization of multi-agent interactions using causality graphs
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
Organizational and social concepts in agent oriented software engineering
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Information and Software Technology
| Hi-index | 0.00 |
The design of agent-based software applications is supported by modeling approaches that focus on the design of individual agents as well as their arrangement in organizational structures. However, it is a challenging task to deduce the collective system behavior from the sum of designs of the autonomous, pro-active actors and their collaboration can lead to surprising effects. Therefore, developers of agent collectives require tools to plan for the effects of agent coaction. Here, we propose a systemic modeling level that supplements established agent-oriented modeling approaches and utilizes System Science modeling concepts to support qualitative examinations of the system-wide dynamics that can result from agent coaction. We discuss the systematic derivation of systemic MAS abstractions from established design notations and exemplify systemic modeling of MAS in a case study where the interdependencies of agent activites and their consequences are identified at design-time and compared to run-time effects.