Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
The micro-macro link in DAI and sociology
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Towards a definition of robustness for market-style open multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Naming the Unnamable: Socionics or the Sociological Turn of/to Distributed Artificial Intelligence
Autonomous Agents and Multi-Agent Systems
Supporting internet-scale multi-agent systems
Data & Knowledge Engineering - DKE 40
Infrastructure Issues and Themes for Scalable Multi-Agent Systems
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
Scalability Metrics and Analysis of Mobile Agent Systems
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
Improving the Scalability of Multi-Agent Systems
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
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This work proposes a system theoretical framework for analyzing scalability and scaling processes. Our aim is to clarify the vocabulary used in the debate on scalability issues in multi-agent systems. We, therefore, refer to the terminology of Niklas Luhmann's sociological system theory and general complexity science. To evaluate the heuristic strength of the analytical framework, it is applied to a particular socionic model of a scalable system. Finally, we introduce some proposals for the modelling of scalable multi-agent systems from a sociological point of view. More specifically and system theoretically seen, such a scalable system has to be conceptualized as an organized multi-system system.