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By William B. Rouse

Explains multi-level types of firm structures and covers modeling methodology

This publication addresses the fundamental phenomena underlying the final behaviors of advanced structures and enterprises.  knowing those phenomena can allow bettering those platforms. those phenomena variety from actual, behavioral, and organizational, to financial and social, all of which contain major human parts. particular phenomena of curiosity and the way they're represented rely on the questions of curiosity and the proper domain names or contexts. Modeling and Visualization of complicated platforms and firms examines visualization of phenomena and the way figuring out the relationships between phenomena provides the foundation for figuring out the place deeper exploration is warranted. the writer additionally studies mathematical and computational types, outlined very generally throughout disciplines, that could permit deeper understanding.

  • Presents a ten step method for addressing questions linked to the layout or operation of advanced structures and enterprises
  • Examines six archetypal company difficulties together with from healthcare, from city platforms, and one each one from monetary platforms and safety systems
  • Provides an creation to the character of advanced structures, old views on complexity and intricate adaptive platforms, and the evolution of structures practice

Modeling and Visualization of advanced platforms and Enterprises is written for graduate scholars learning structures technology and engineering and pros taken with platforms technological know-how and engineering, these serious about advanced platforms akin to healthcare supply, city platforms, sustainable strength, monetary structures, and nationwide security.

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Modeling and Visualization of Complex Systems and Enterprises: Explorations of Physical, Human, Economic, and Social Phenomena

Explains multi-level types of company structures and covers modeling technique This e-book addresses the basic phenomena underlying the final behaviors of complicated structures and enterprises.  realizing those phenomena can permit enhancing those platforms. those phenomena diversity from actual, behavioral, and organizational, to fiscal and social, all of which contain major human parts.

Extra info for Modeling and Visualization of Complex Systems and Enterprises: Explorations of Physical, Human, Economic, and Social Phenomena

Example text

The initial driver agent models might be simply probabilities of avoiding the central city as a function of prices. However, this representation will quickly be inadequate for two reasons. First, drivers’ choices of alternatives will depend on what it is assumed they know. If we assume that they all have smart phones, they will know quite a bit. Consequently, the agent models will have to include mechanisms for using this information to make decisions. The second shortcoming of the initial simple model is its lack of depiction of the social networks among drivers.

Emergent and designed phenomena are then contrasted, as well as direct versus representative political systems. The overall problem of modeling complex social systems is then considered, with an example of modeling the earth as a system. Several approaches to modeling social systems are presented, including physics-based formulations, network theory, game theory, and simulations. Examples include castes and outcastes, acquisition as a game, port and airport evacuation, and the emergence of cities.

Van der Zee, D-J. (2011). Conceptual Modeling for Discrete-Event Simulation. Boca Raton, FL: CRC Press. B. (2000). Managing complexity: Disease control as a complex adaptive system. Information Knowledge Systems Management, 2 (2), 143–165. B. (2003). Engineering complex systems: Implications for research in systems engineering. IEEE Transactions on Systems, Man, and Cybernetics – Part C, 33 (2), 154–156. B. (2005). Thoughts on Complex Systems: An Initial Framework and Discussion Questions. Atlanta, GA: Tennenbaum Institute, October.

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