Pestel was a very forceful person and quickly saw the power of system dynamics. - Jay Wright Forrester

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Pestel was a very forceful person and quickly saw the power of system dynamics.

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About Jay Wright Forrester

Jay Wright Forrester (July 14, 1918 – November 16, 2016) was a pioneer American computer engineer, systems scientist and was a professor at the MIT Sloan School of Management. Forrester is known as the founder of System Dynamics, which deals with the simulation of interactions between objects in dynamic systems.

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Alternative Names: Jay W. Forrester

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The enterprise engineer must be a leader, a designer, and a synthesizer. He is a doer. He understands theory as a guide to practice. He must concern himself with human organization because the pace and success of technology are becoming more dependent on interaction with the social system and less on scientific discovery. In private as well as public research and development, such men must find ways to reverse the deterioration of ethics and efficiency. They will strengthen the information links between physical design and the public so that technology can better serve society. In the public sector they must show the level of wisdom and leadership that can co-ordinate great engineering projects with politics. They will recognise that informing the public and becoming a nucleus for crystallising public opinion is even more important in many programmes than is the underlying science.

No plea about inadequacy of our understanding of the decision-making processes can excuse us from estimating decision making criteria. To omit a decision point is to deny its presence – a mistake of far greater magnitude than any errors in our best estimate of the process.

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In complex systems cause and effect are often not closely related in either time or space. The structure of a complex system is not a simple feedback loop where one system state dominates the behavior. The complex system has a multiplicity of interacting feedback loops. Its internal rates of flow are controlled by nonlinear relationships. The complex system is of high order, meaning that there are many system states (or levels). It usually contains positive-feedback loops describing growth processes as well as negative, goal-seeking loops. In the complex system the cause of a difficulty may lie far back in time from the symptoms, or in a completely different and remote part of the system. In fact, causes are usually found, not in prior events, but in the structure and policies of the system.

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