DEVS-based endomorphic agents: Control through deliberative and reactive planning

Hamaidi, Lyes; Bourseau, Patrick; Muratet, G.; Couretas, Jerry M.; Zeigler, Bernard P.

doi:10.1007/bfb0034775

Cited by 1 publication

(2 citation statements)

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“…As a theoretical formalism for analyzing complicated simulations as hierarchical Moore machines with timing information added to the state transitions, 6 DEVS plays a very important role in solving the hierarchical and modular problems of Agent-based modeling method. Lyes et al 7 presented a DEVS-based architecture for the construction of autonomous Agents functioning in dynamic domains, which provided Agent with inherent hierarchical and modular structure to develop control schemes for given objectives and constraints. DEVS was regarded as an ideal environment for the interoperation of autonomous Agents.…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on co-simulation of multi-resolution models based on HLA

Cao

2022

SIMULATION

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Intelligence, hierarchy, and multi-resolution (MR) modeling are vital to the complex system simulation. Based on the proposed MR-Agent-Discrete EVent System (MR-Agent-DEVS) specification, this paper discusses the co-simulation of MR models under high-level architecture (HLA). First, the structure and formal description of MR-Agent-DEVS federate models were proposed. The communication mechanism and simulation process of MR-Agent-DEVS federate models were analyzed. Finally, an example of distributed interactive simulation for emergency material supply was given. The results of the simulation test show that HLA enhances the reusability of MR-Agent-DEVS models, knowledge updating and model coupling enrich the interoperability of MR-Agent-DEVS models, and the real-time memory of knowledge base in Agent ensures the consistency of MR-Agent-DEVS models in aggregation and disaggregation.

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Section: Literature Reviewmentioning

confidence: 99%

“…So I takes its atomic model of the scheduling layer as an example. The model is shown in Equation (7).…”

Section: Design Of Typical Message In Member Modelmentioning

confidence: 99%