Provided by: Science and Development Network (SciDev.Net)
Date Added: Sep 2011
The proposed paper deals with highly complex, multi-dimensional systems/processes that cannot be described using low-level details. This is due to the complexity and uncertainty inherent in their nature of functionality, behavior, interaction, hierarchy and geometry. To keep pace with such complexity and uncertainty, abstract modeling would be useful in predicting the level and nature of the exchange-interaction between processes and the consequent occurrence of events, thus devising rational strategies for tradeoffs. A set of principle analytical expressions are constructed to analyze and assess the performance or outcome of diverse processes (e.g. environment, economics, technology or globalization).