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Guide To Computational Modelling For Decision Processes


Guide To Computational Modelling For Decision Processes
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Guide To Computational Modelling For Decision Processes


Guide To Computational Modelling For Decision Processes
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Author : Stuart Berry
language : en
Publisher: Springer
Release Date : 2017-04-13

Guide To Computational Modelling For Decision Processes written by Stuart Berry and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-13 with Computers categories.


This interdisciplinary reference and guide provides an introduction to modeling methodologies and models which form the starting point for deriving efficient and effective solution techniques, and presents a series of case studies that demonstrate how heuristic and analytical approaches may be used to solve large and complex problems. Topics and features: introduces the key modeling methods and tools, including heuristic and mathematical programming-based models, and queueing theory and simulation techniques; demonstrates the use of heuristic methods to not only solve complex decision-making problems, but also to derive a simpler solution technique; presents case studies on a broad range of applications that make use of techniques from genetic algorithms and fuzzy logic, tabu search, and queueing theory; reviews examples incorporating system dynamics modeling, cellular automata and agent-based simulations, and the use of big data; supplies expanded descriptions and examples in the appendices.



Automatic Control Robotics And Information Processing


Automatic Control Robotics And Information Processing
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Author : Piotr Kulczycki
language : en
Publisher: Springer Nature
Release Date : 2020-09-03

Automatic Control Robotics And Information Processing written by Piotr Kulczycki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-03 with Technology & Engineering categories.


This book presents a wide and comprehensive range of issues and problems in various fields of science and engineering, from both theoretical and applied perspectives. The desire to develop more effective and efficient tools and techniques for dealing with complex processes and systems has been a natural inspiration for the emergence of numerous fields of science and technology, in particular control and automation and, more recently, robotics. The contributions gathered here concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls. From an engineering standpoint, many of them focus on how to automate a specific process or complex system. From a tools-based perspective, several contributions address the development of analytic and algorithmic methods and techniques, devices and systems that make it possible to develop and subsequently implement the automation and robotization of crucial areas of human activity. All topics discussed are illustrated with sample applications.



Computational Intelligence For Genomics Data


Computational Intelligence For Genomics Data
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Author : Babita Pandey
language : en
Publisher: Elsevier
Release Date : 2025-01-21

Computational Intelligence For Genomics Data written by Babita Pandey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.


Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. - Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing major design challenges, best practices, pitfalls, and research potential - Explores machine and deep learning techniques applied to dimensionality reduction, feature extraction, data selection, and their application in genomics - Presents case studies of various diseases based on gene microarray expression data, including cancer, liver disorders, neuromuscular disorders, and neurodegenerative disorders



Neurobiological Circuit Function And Computation Of The Serotonergic And Related Systems


Neurobiological Circuit Function And Computation Of The Serotonergic And Related Systems
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Author : KongFatt Wong-Lin
language : en
Publisher: Frontiers Media SA
Release Date : 2015-02-24

Neurobiological Circuit Function And Computation Of The Serotonergic And Related Systems written by KongFatt Wong-Lin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-24 with Dopamine categories.


Serotonin is one of the oldest neurotransmitters in evolutionary terms, and the serotonergic system is complex and multifaceted. Serotonin-producing neurons in the raphe nuclei provide serotonin innervations throughout various parts of the brain, modulating cellular excitability and network properties of targeted brain areas, and regulating mood, cognition and behavior. Dysfunctions of the serotonergic system are implicated in neuropsychiatric disorders including depression, schizophrenia, and drug abuse. Although the system has been studied for many years, an integrative account of its functions and computational principles remains elusive. This is partly attributed to the high variability and heterogeneity in terms of neuronal properties and receptor types, and its extensive connections with other brain regions. This Frontiers Research Topic e-book is a collection of recent experimental and computational work and approaches at multiple scales that provide the latest information regarding the integrated functions of the serotonergic system. The contributed papers include a variety of experimental and computational work, and human clinical studies.



A Handbook Of Process Tracing Methods


A Handbook Of Process Tracing Methods
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Author : Michael Schulte-Mecklenbeck
language : en
Publisher: Routledge
Release Date : 2019-06-10

A Handbook Of Process Tracing Methods written by Michael Schulte-Mecklenbeck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Psychology categories.


A Handbook of Process Tracing Methods demonstrates how to better understand decision outcomes by studying decision processes, through the introduction of a number of exciting techniques. Decades of research have identified numerous idiosyncrasies in human decision behavior, but some of the most recent advances in the scientific study of decision making involve the development of sophisticated methods for understanding decision process—known as process tracing. In this volume, leading experts discuss the application of these methods and focus on the best practices for using some of the more popular techniques, discussing how to incorporate them into formal decision models. This edition has been expanded and thoroughly updated throughout, and now includes new chapters on mouse tracking, protocol analysis, neurocognitive methods, the measurement of valuation, as well as an overview of important software packages. The volume not only surveys cutting-edge research to illustrate the great variety in process tracing techniques, but also serves as a tutorial for how the novice researcher might implement these methods. A Handbook of Process Tracing Methods will be an essential read for all students and researchers of decision making.



Computational Modeling For Industrial Organizational Psychologists


Computational Modeling For Industrial Organizational Psychologists
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Author : Jeffrey B. Vancouver
language : en
Publisher: Taylor & Francis
Release Date : 2023-11-02

Computational Modeling For Industrial Organizational Psychologists written by Jeffrey B. Vancouver and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-02 with Psychology categories.


This collection provides a straightforward primer to the process and promise of computational modeling for industrial-organizational psychologists. Computational models offer I-O psychologists a more transparent, precise way to represent theories, and may be simulated, which provides a test of the internal consistency of a theory and allows for predictions. A timely volume as enthusiasm for computational modeling is growing and this volume provides a set of examples and chapters devoted to the steps in producing and testing models. Chapters are designed for a range of readership levels, and also address modeling for novices, fitting models to data, how to validate models using experiments, and how computational modeling may facilitate integration across disciplines.



Policy Decision Modeling With Fuzzy Logic


Policy Decision Modeling With Fuzzy Logic
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Author : Ali Guidara
language : en
Publisher: Springer Nature
Release Date : 2020-12-18

Policy Decision Modeling With Fuzzy Logic written by Ali Guidara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Technology & Engineering categories.


This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods. The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers. This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.



Modelling And Computation In Engineering


Modelling And Computation In Engineering
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Author : Jinrong Zhu
language : en
Publisher: CRC Press
Release Date : 2010-10-06

Modelling And Computation In Engineering written by Jinrong Zhu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-06 with Technology & Engineering categories.


In recent years the theory and technology of modelling and computation in engineering has expanded rapidly, and has been widely applied in various kinds of engineering projects. Modelling and Computation in Engineering is a collection of 37 contributions, which cover the state-of-the-art on a broad range of topics, including:- Tunnelling- Seismic r



Handbook Of Real World Applications In Modeling And Simulation


Handbook Of Real World Applications In Modeling And Simulation
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Author : John A. Sokolowski
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-24

Handbook Of Real World Applications In Modeling And Simulation written by John A. Sokolowski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-24 with Mathematics categories.


Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling. Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques. Contributions from leading academics and researchers integrate modeling and simulation theories, methods, and data to analyze challenges that involve technological and social issues. The book begins with an introduction that explains why modeling and simulation is a reliable analysis assessment tool for complex systems problems. Subsequent chapters provide an orientation to various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains. Additionally, the handbook: Provides a practical one-stop reference on modeling and simulation and contains an accessible introduction to key concepts and techniques Introduces, trains, and prepares readers from statistics, mathematics, engineering, computer science, economics, and business to use modeling and simulation in their studies and research Features case studies that are representative of fundamental areas of multidisciplinary studies and provides a concise look at the key concepts of modeling and simulation Contains a collection of original ideas on modeling and simulation to help academics and practitioners develop a multifunctional perspective Self-contained chapters offer a comprehensive approach to explaining each respective domain and include sections that explore the related history, theory, modeling paradigms, and case studies. Key terms and techniques are clearly outlined, and exercise sets allow readers to test their comprehension of the presented material. Handbook of Real-World Applications in Modeling and Simulation is an essential reference for academics and practitioners in the areas of operations research, business, management science, engineering, statistics, mathematics, and computer science. The handbook is also a suitable supplement for courses on modeling and simulation at the graduate level.



The Routines Of Decision Making


The Routines Of Decision Making
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Author : Tilmann Betsch
language : en
Publisher: Psychology Press
Release Date : 2014-04-04

The Routines Of Decision Making written by Tilmann Betsch and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Business & Economics categories.


Experience is currently a hot theme in decision making. For a long time, decision research was almost exclusively focused on new decisions and neglected the importance of experience. It took the field until the 1990s for a new direction in research and theorizing to become visible in the literature. There are parallel movements happening in sociology, political science, social psychology, and business. The purpose of this edited book is to provide a balanced and representative overview of what is currently known about the dynamics of experienced-based decision making. The chapters are written by renowned experts in the field and provide the latest theoretical developments, integrative frameworks, and state-of-the-art reviews of research in the laboratory and in the field.