5.4.1 The Use of Integrated Architectures to Support Agent Based Simulation: An Initial Investigation

Zinn, Andrew R.; DeStefano, Greg; Jacques, David R.

doi:10.1002/j.2334-5837.2004.tb00553.x

Cited by 13 publications

(29 citation statements)

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“…Griendling and Mavris [21] developed an executable environment as a key component of the ARCHITECT methodology which focuses on using a standard set of DoDAF views and the associated data to automatically generate four types of executable models (i.e., Markov chains, Petri nets, system dynamics models, and mathematical graphs). Other target executable formalisms include agent-based simulation [22] and discrete-event system specification [23].…”

Section: B Executable Architecture Modelingmentioning

confidence: 99%

A Novel Executable Modeling Approach for System-of-Systems Architecture

Hipel

Yang³

et al. 2014

IEEE Systems Journal

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A novel executable modeling approach is proposed for system-of-systems architecture by taking full advantage of the Department of Defense Architecture Framework (DoDAF) Metamodel (DM2) and defining the common model transformation specification at the metamodel level. This methodology provides more flexibility and adaptability for the automated construction of executable models directly from the architectural data rather than from static models. More specifically, the architectural data metamodel is first established to guide architectural data modeling of core data elements and associations in DM2 as the common and consistent data dictionary for architecture modeling, while the executable formalism metamodel is designed to formally define executable models. Then, the mapping rules between both metamodels are presented as the common transformation specification regardless of which modeling language or methodology is employed in developing architectural descriptions. Finally, eXtensible Markup Language (XML) technology, like XML schema languages and eXtensible Stylesheet Language specifications, is discussed to facilitate the automated transformation of executable models from architectural instance data. The feasibility of the proposed approach is illustrated using a published example where colored Petri net (CPN) is used as the executable formalism.Index Terms-Architectural data metamodel, data-centric, executable formalism metamodel, mapping rules, system-of-systems (SoS) architecture.

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Section: B Executable Architecture Modelingmentioning

confidence: 99%

A Novel Executable Modeling Approach for System-of-Systems Architecture

Hipel

Yang³

et al. 2014

IEEE Systems Journal

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“…A subset of DoDAF artifacts is enough to model an EA. 10,13,14,15 The most relevant artifacts reported to create executable architectures are shown in Table 1. According to the Table 1, to develop a petri net as an executable system model it is only necessary the artifacts OV-5, OV-6a, OV-6b and OV-7.…”

Section: Executable Architecturementioning

confidence: 99%

Develop an Executable Architecture for a System of Systems: A Teaching Management Model

Delgado

Torres

Llamosa-Villalba

2014

Procedia Computer Science

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“…Aggregated and emergent behavior may rise from the interactions at lower levels. The System Effectiveness Analysis Simulation (SEAS) tool is a representative of such systems [19]. SEAS is designed to model multi-missions and perform campaign level analysis.…”

Section: Related Workmentioning

confidence: 99%

Modeling multiple communities of interest for interactive simulation and gaming: the dynamic adversarial gaming algorithm project

Santos

Zhao

Pratto³

et al. 2007

SPIE Proceedings

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Nowadays, there is an increasing demand for the military to conduct operations that are beyond traditional warfare. In these operations, analyzing and understanding those who are involved in the situation, how they are going to behave, and why they behave in certain ways is critical for success. The challenge lies in that behavior does not simply follow universal/fixed doctrines; it is significantly influenced by soft factors (i.e. cultural factors, societal norms, etc.). In addition, there is rarely just one isolated enemy; the behaviors and responses of all groups in the region, and the dynamics of the interaction among them composes an important part of the whole picture. The Dynamic Adversarial Gaming Algorithm (DAGA) project aims to provide a wargaming environment for automation of simulating dynamics of geopolitical crisis and eventually be applied to military simulation and training domain, and/or commercial gaming arena. The focus of DAGA is on modeling communities of interest (COIs), where various individuals, groups, and organizations as well as their interactions are captured. The framework should provide a context for COIs to interact with each other and influence others' behaviors. These behaviors must incorporate soft factors by modeling cultural knowledge. We do so by representing cultural variables and their influence on behavior using probabilistic networks. In this paper, we describe our COI modeling, the development of cultural networks, the interaction architecture, and a prototype of DAGA.

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5.4.1 The Use of Integrated Architectures to Support Agent Based Simulation: An Initial Investigation

Cited by 13 publications

References 0 publications

A Novel Executable Modeling Approach for System-of-Systems Architecture

A Novel Executable Modeling Approach for System-of-Systems Architecture

Develop an Executable Architecture for a System of Systems: A Teaching Management Model

Modeling multiple communities of interest for interactive simulation and gaming: the dynamic adversarial gaming algorithm project

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