Component-Based Models and Simulations for Supporting Valid Multi-Agent System Simulations

Himmelspach, Jan; Röhl, Mathias; Uhrmacher, Adelinde M.

doi:10.1080/08839514.2010.481492

Cited by 8 publications

(8 citation statements)

References 26 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The JAMES platform [29][30][31] allows dynamic simulations of MAS systems. 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.…”

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

View full text Add to dashboard Cite

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).

show abstract

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

View full text Add to dashboard Cite

show abstract

“…The experiment class in JAMES II generates job descriptions that define the simulation to be executed. A job description is represented by a SimulationConfiguration object, which includes a link to the model and concrete parameter settings to initialize both model and simulation algorithms [11]. Which algorithm is used depends on available alternatives, hardware infrastructure, and experiment settings.…”

Section: James IImentioning

confidence: 99%

A Grid-Inspired Mechanism for Coarse-Grained Experiment Execution

Leye

Himmelspach

Jeschke

et al. 2008

2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications

View full text Add to dashboard Cite

Stochastic simulations may require many replications until their results are statistically significant. Each replication corresponds to a standalone simulation job, so that these can be computed in parallel. This paper presents a grid-inspired approach to distribute such independent jobs over a set of computing resources that host simulation services, all of which are managed by a central master service. Our method is fully integrated with alternative ways of distributed simulation in JAMES II, hides all execution details from the user, and supports the coarse-grained parallel execution of any sequential simulator available in JAMES II. A thorough performance analysis of the new execution mode illustrates its efficiency.

show abstract

“…In DEVS, a model is represented by a 7-tuple (I, O, S, δ ext , δ int , λ, t a ), where I and O represent the inputs and outputs of the model, S is the vector of state variables, t a represents time advancement in simulation, δ int is the evolution of internal states of model while δ ext represent the influence of external events to model's internal states. Model coupling in DEVS consists of encapsulating the individual models into a big global DEVS multi-model [58][59][60].…”

Section: Encapsulation Of Formalism-discrete Event System Specificatimentioning

confidence: 99%

On Conceptual Structuration and Coupling Methods of Co-Simulation Frameworks in Cyber-Physical Energy System Validation

et al. 2017

View full text Add to dashboard Cite

Co-simulation is an emerging method for cyber-physical energy system (CPES) assessment and validation. Combining simulators of different domains into a joint experiment, co-simulation provides a holistic framework to consider the whole CPES at system level. In this paper, we present a systematic structuration of co-simulation based on a conceptual point of view. A co-simulation framework is then considered in its conceptual, semantic, syntactic, dynamic and technical layers. Coupling methods are investigated and classified according to these layers. This paper would serve as a solid theoretical base for specification of future applications of co-simulation and selection of coupling methods in CPES assessment and validation.

show abstract

Component-Based Models and Simulations for Supporting Valid Multi-Agent System Simulations

Cited by 8 publications

References 26 publications

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

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

A Grid-Inspired Mechanism for Coarse-Grained Experiment Execution

On Conceptual Structuration and Coupling Methods of Co-Simulation Frameworks in Cyber-Physical Energy System Validation

Contact Info

Product

Resources

About