By John A. Sokolowski
Introduces a number of modeling and simulation tools and paradigms which are used to give an explanation for and clear up the foremost demanding situations dealing with society
Handbook of Real-World purposes in Modeling and Simulation presents a radical rationalization of modeling and simulation within the most respected, present, and fundamental utilized components of transportation, fatherland protection, drugs, operational examine, army technological know-how, and company modeling. supplying a state of the art and obtainable presentation, this booklet discusses how and why the provided domain names became best purposes of modeling and simulation techniques.
Contributions from prime lecturers and researchers combine modeling and simulation theories, equipment, and information to research demanding situations that contain technological and social concerns. The ebook starts off with an creation that explains why modeling and simulation is a competent research evaluate instrument for complicated platforms difficulties. next chapters supply an orientation to varied modeling and simulation tools and paradigms which are used to provide an explanation for and remedy the fundamental demanding situations throughout real-world utilized domain names. also, the handbook:
Provides a pragmatic one-stop reference on modeling and simulation and includes an obtainable advent to key innovations and techniques
Introduces, trains, and prepares readers from records, arithmetic, engineering, computing device technological know-how, economics, and company to take advantage of modeling and simulation of their reviews and research
Features case experiences which are consultant of primary components of multidisciplinary reports and offers a concise examine the main suggestions of modeling and simulation
Contains a set of unique principles on modeling and simulation to assist lecturers and practitioners advance a multifunctional perspective
Self-contained chapters provide a accomplished method of explaining every one respective area and comprise sections that discover the comparable heritage, idea, modeling paradigms, and case experiences. key words and methods are truly defined, and workout units enable readers to check their comprehension of the offered material.
Handbook of Real-World purposes in Modeling and Simulation is an important reference for teachers and practitioners within the parts of operations examine, company, administration technology, engineering, records, arithmetic, and desktop technology. The instruction manual is additionally an appropriate complement for classes on modeling and simulation on the graduate level.
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Additional info for Handbook of Real-World Applications in Modeling and Simulation
Subjective probabilities play a signiﬁcant role in SEU and MAUT calculations. Each decision maker assigns his or her own estimated probabilities to the outcomes of a decision problem in a manner similar to the way they assign their own utilities to those outcomes. These probabilities are based on the person’s belief of the likelihood of the outcome relative to the other outcomes. 2 Background and Theory 31 processes. Unfortunately, these heuristics often reﬂect biases that subconsciously enter into the estimate and render them less than optimal.
If events contradict expectancies, the decision maker may reexamine his understanding of the situation. Once expectancies are consistent with the unfolding events, he will examine possible actions one by one. This is another key point of RPD. These options are not compared against one another but are evaluated on their own merits. Klein observed that experienced decision makers handled approximately 50–80% of all decisions in this manner (9). As each action is examined, the decision maker mentally imagines (mentally simulates) how the action will achieve the goal.
Under utility theory, the payoffs or consequences need not be monetary. One can just as easily map qualitative results to utility values and calculate SEU. Multiattribute Utility Theory (MAUT) is an extension of SEU that takes into account multiple objectives of a decision maker (5). In the above stock market example, the decision maker was only concerned with one payoff or consequence value. The utility function had only one independent variable to map to a utility. With MAUT, the utility function can accept multiple variables to calculate a utility value.