Enabling Architecture Validation in the Analysis Phase of Developing Enterprise or Complex Systems using Enterprise Architecture Simulation Environment (EASE)

2007 ◽  
Author(s):  
Steven S. Brink
Keyword(s):  
Complex Systems ◽  
Enterprise Architecture ◽  
Simulation Environment ◽  
Analysis Phase ◽  
Architecture Simulation

Complex Adaptive Systems Thinking Approach to Enterprise Architecture

2016 ◽  
pp. 339-389
Author(s):  
Marc Rabaey
Keyword(s):  
Complex Systems ◽  
Systems Thinking ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Enterprise Architecture ◽  
Time Dynamic ◽  
Complex Adaptive ◽  
Unstable Environment ◽  
Systems Thinking Approach ◽  
High Degree

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterprises are not only complex systems; they are also most of the time dynamic because they have to adapt their goals, means, and structure to survive in the fast evolving (and thus unstable) environment. Crucial for enterprises is to know the context/ecology in which they act and operate. The Cynefin framework makes the organization and/or its parts aware of the possible contexts of the organization and/or its parts: simple, complicated, complex, chaotic, or disordered. It is crucial for the success of implementing and using EA that EA is adapted to function in an environment of perpetual change. To realize this, the chapter proposes and elaborates a new concept of EA, namely Complex Adaptive Systems Thinking – Enterprise Architecture (CAST-EA).

An Integrated Control and Simulation Environment for Mobile Robot Software Development

2008 ◽  
Author(s):  
Stephen Balakirsky ◽  
Frederick M. Proctor ◽  
Christopher J. Scrapper ◽  
Thomas R. Kramer
Keyword(s):  
Integrated Control ◽  
Open Architecture ◽  
Simulation Environment ◽  
Development Environment ◽  
Wide Range ◽  
Seamless Transition ◽  
Real Hardware ◽  
Architecture Simulation ◽  
Robot Configuration ◽  
Robotic Software

In order to expedite the research and development of robotic systems and foster development of novel robot configuration, it is essential to develop tools and standards that allow researchers to rapidly develop, communicate, and compare experimental results. This paper describes the Mobility Open Architecture Simulation and Tools Framework (MOAST). The MOAST framework is designed to aid in the development, testing, and analysis of robotic software by providing developers with a wide range of open source robotic algorithms and interfaces. The framework provides a physics-based virtual development environment for initial testing and allows for the seamless transition of algorithms to real hardware. This paper details the design approach, software architecture and specific module-to-module interfaces.

Complex Adaptive Systems Thinking Approach to Enterprise Architecture

2014 ◽  
pp. 99-149 ◽  
Author(s):  
Marc Rabaey
Keyword(s):  
Complex Systems ◽  
Systems Thinking ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Enterprise Architecture ◽  
Time Dynamic ◽  
Complex Adaptive ◽  
Unstable Environment ◽  
Systems Thinking Approach ◽  
High Degree

Complex systems interact with an environment where a high degree of uncertainty exists. To reduce uncertainty, enterprises (should) create intelligence. This chapter shows that intelligence has two purposes: first, to increase and to assess (thus to correct) existing knowledge, and second, to support decision making by reducing uncertainty. The chapter discusses complex adaptive systems. Enterprises are not only complex systems; they are also most of the time dynamic because they have to adapt their goals, means, and structure to survive in the fast evolving (and thus unstable) environment. Crucial for enterprises is to know the context/ecology in which they act and operate. The Cynefin framework makes the organization and/or its parts aware of the possible contexts of the organization and/or its parts: simple, complicated, complex, chaotic, or disordered. It is crucial for the success of implementing and using EA that EA is adapted to function in an environment of perpetual change. To realize this, the chapter proposes and elaborates a new concept of EA, namely Complex Adaptive Systems Thinking – Enterprise Architecture (CAST-EA).

Parsec: a parallel simulation environment for complex systems

Computer ◽  
1998 ◽  
Vol 31 (10) ◽  
pp. 77-85 ◽  
Author(s):  
R. Bagrodia ◽  
R. Meyer ◽  
M. Takai ◽  
Yu-An Chen ◽  
Xiang Zeng ◽  
...  
Keyword(s):  
Complex Systems ◽  
Parallel Simulation ◽  
Simulation Environment

xArchiMate: Enterprise Architecture simulation, experimentation and analysis

SIMULATION ◽  
2015 ◽  
Vol 91 (3) ◽  
pp. 276-301 ◽  
Author(s):  
Laura Manzur ◽  
Jorge Mario Ulloa ◽  
Mario Sánchez ◽  
Jorge Villalobos
Keyword(s):  
Enterprise Architecture ◽  
Architecture Simulation
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