Modeling formalisms for dynamic structure systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Modelling and Using Imperfect Context Information
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Environments in multiagent systems
The Knowledge Engineering Review
Mechanisms for environments in multi-agent systems: Survey and opportunities
Autonomous Agents and Multi-Agent Systems
Modeling dynamic environments in multi-agent simulation
Autonomous Agents and Multi-Agent Systems
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
Combining micro and macro-modeling in DEVS for computational biology
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Definition and analysis of composition structures for discrete-event models
Proceedings of the 40th Conference on Winter Simulation
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
A formal environment model for multi-agent systems
SBMF'10 Proceedings of the 13th Brazilian conference on Formal methods: foundations and applications
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Modeling and simulation of tests for agents
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
Towards creating assistive software by employing human behavior models
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Evaluating the robustness of activity recognition using computational causal behavior models
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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Environments play an important role in multi-agent systems. They present the context agents operate in. When testing multi-agent systems by simulation, the environment and partly agents have to be modeled. We explore the potential of Multi-Level-DEVS to serve as a modeling formalism for agents, their environment, and the interaction between them. Multi-Level-DEVS combines a modular, hierarchical modeling with variable structures, dynamic interfaces, and explicit means for describing up- and downward causation between different levels of the compositional hierarchy. The modeling in Multi-Level-DEVS emphasizes the role of the environment to provide information for and enforce constrains on the situated agents. A smart meeting room scenario is modeled, and an approach aimed at recognizing user activities in smart environments is tested and evaluated in a simulation study.