Modeling agents and their environment in Multi-Level-DEVS

Steiniger, Alexander; Uhrmacher, Adelinde M.

doi:10.1109/wsc.2012.6465113

Cited by 16 publications

(12 citation statements)

References 16 publications

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“…An agent is represented by atomic DEVS model, a group of agents is represented by coupled DEVS model and the communication between models is determined by the inputs and outputs events. The agent environment plays an important role and it is perceived as a shared framework for the agents interactions [32][33][34][35].…”

Section: Related Workmentioning

confidence: 99%

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

Seddari

Redjimi

Belaoued

2020

Advances in Intelligent Systems and Computing

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This paper presents an approach for modeling and simulation of complex systems. This approach is based on the decomposition of the considered systems into sub-systems which appear on two levels: On the lower level; the decomposition concerns the division of a global system into atomic and coupled models based on DEVS formalism (Discrete Event Systems Specification). The system components are then represented using the DEVS mathematical equations. This step allows the formal system checking. At the higher lever, the implementation of the obtained DEVS models is realized using Multi-Agents Systems (MAS) based on Agent/Role/Group (AGR). Moreover, a set of procedures and functions permitting to transform DEVS to MAS models are defined and implemented. The main advantages of this approach are its adaptability for various domains, its flexibility (easy to implement), its extensibility (adding new components). A version of this work will be implemented using a functional extension of the Multi Agent Development KIT platform (MAD-KIT).

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Section: Related Workmentioning

confidence: 99%

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

Seddari

Redjimi

Belaoued

2020

Advances in Intelligent Systems and Computing

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“…The upward and downward causation are also key features of the ML-DEVS formalism, presented in [27], although in a slightly more restricted form since here agents can only trigger changes in the levels immediately above or below them, whereas in ML-Rules an impact can be across arbitrary levels in the hierarchy. ML-DEVS is a modular, hierarchical formalism which is intended to represent a reactive system which interacts asynchronously with its "environment".…”

Section: Modelling the Environmentmentioning

confidence: 99%

Specification and Analysis of Open-Ended Systems with CARMA

Hillston

Loreti

2015

Lecture Notes in Computer Science

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Abstract. CARMA is a new language recently defined to support quantified specification and analysis of collective adaptive systems. It is a stochastic process algebra equipped with linguistic constructs specifically developed for modelling and programming systems that can operate in open-ended and unpredictable environments. This class of systems is typically composed of a huge number of interacting agents that dynamically adjust and combine their behaviour to achieve specific goals. A CARMA model, termed a "collective", consists of a set of components, each of which exhibits a set of attributes. To model dynamic aggregations, which are sometimes referred to as "ensembles", CARMA provides communication primitives based on predicates over the exhibited attributes. These predicates are used to select the participants in a communication. Two communication mechanisms are provided in the CARMA language: multicast-based and unicast-based. A key feature of CARMA is the explicit representation of the environment in which processes interact, allowing rapid testing of a system under different open world scenarios. The environment in CARMA models can evolve at runtime, due to the feedback from the system, and it further modulates the interaction between components, by shaping rates and interaction probabilities.

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“…The agent environment plays an important role and it is perceived as a shared framework for the agent's interactions [19][20][21][22].…”

Section: Related Work and Motivationmentioning

confidence: 99%

Using of DEVS and MAS Tools for Modeling and Simulation of an Industrial Steam Generator

Seddari

Redjimi

Boukelkoul

2014

CIT

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Complex systems are made of many elementary components in interaction. To model such systems, it is generally more convenient to decompose them into subsystems that are simpler to handle. This new division is to be made in a methodical way, by identification and complete definition of the various structures, actions and interactions of those sub-systems. In this work, the decomposition of the overall system into sub-systems is based primarily on the use of the Discrete EVent System Specification (DEVS) formalism. The obtained atomic and coupled models are formally verified and validated. Then, we use the Multi-agent Development KIT (MAD-KIT) Multi Agent Systems (MAS) operational tools to implement an industrial simulator. This simulator is used by beginner operators in the petroleum field to ameliorate the process of training and learning without stopping the real processes. The advantage of this approach is its adaptability as well as its possibilities of extension (addition of new functionalities). Moreover, the decomposition into sub-systems reduces significantly the complexity of the elements being implemented and therefore, allows a great modularity and a better legibility to the system. Our work is realised in collaboration with the production department of natural gas liquefaction (GL1/K Skikda), one of the principal hydrocarbons poles from SONATRACH complex in Algeria.

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Modeling agents and their environment in Multi-Level-DEVS

Cited by 16 publications

References 16 publications

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

A DEVS/MAS-Based Framework for Modeling/Simulation of Complex Systems

Specification and Analysis of Open-Ended Systems with CARMA

Using of DEVS and MAS Tools for Modeling and Simulation of an Industrial Steam Generator

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