Militarized Conflict Modeling Using Computational Intelligence

Computational paleontology is simply a term applied to using computers and its facilities in the field of paleontology. However, we should be exactly precise in describing the term through explaining

Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the

Nonsmooth Modeling and Simulation for Switched Circuits concerns the modeling and the numerical simulation of switched circuits with the nonsmooth dynamical systems (NSDS) approach, using piecewise-li

With its discussion of strategies for modeling complex materials using new numerical techniques, mainly those based on the finite element method, this monograph covers a range of topics including comp

Computational modeling has tremendously advanced our understanding of the processes involved in normal and impaired reading. While previous research has mainly focused on simulating reading aloud of m

Computational Methods in Elasticity and Plasticity: Solids and Porous Media presents the latest developments in the area of elastic and elasto-plastic finite element modeling of solids, porous media a

Presents easy-to-follow instructions on using modeling clay and other materials to create animal sculptures, including ladybugs, giraffes, crabs, dogs, rabbits, and turtles.

Written as both a textbook and a handy reference, this text deliberately avoids complex mathematics assuming only basic familiarity with geodynamic theory and calculus. Here, the authors have brought together the key numerical techniques for geodynamic modeling, demonstrations of how to solve problems including lithospheric deformation, mantle convection and the geodynamo. Building from a discussion of the fundamental principles of mathematical and numerical modeling, the text moves into critical examinations of each of the different techniques before concluding with a detailed analysis of specific geodynamic applications. Key differences between methods and their respective limitations are also discussed - showing readers when and how to apply a particular method in order to produce the most accurate results. This is an essential text for advanced courses on numerical and computational modeling in geodynamics and geophysics, and an invaluable resource for researchers looking to master

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to co

Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence u quickly and with a high quality. The intent is to co

Using MATLABR and SimulinkR to perform symbolic, graphical, numerical, and simulation tasks, Modeling and Analysis of Dynamic Systems provides a thorough understanding of the mathematical modeling and

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to co

Network Modeling and Simulation is a practical guide to using modeling and simulation to solve real-life problems. The authors give a comprehensive exposition of the core concepts in modeling and simu

An updated look at the theory and practice of financial analysis and modelingFinancial Analysis and Modeling Using Excel and VBA, Second Edition presents a comprehensive approach to analyzing financia

Computational modeling can provide a wealth of insight into how energy flow in proteins mediates protein function. Computational methods can also address fundamental questions related to molecular sig

Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinator

Data Analysis Using Stata provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Thr

Praise for Modeling for Insight "Most books on modeling are either too theoretical or too focused on the mechanics of programming. Powell and Batt's emphasis on using simple spreadsheet models to gai

Behavioral Modeling and Simulation describes and assesses research efforts now underway to answer questions, using fundamental behavioral and social science knowledge and evolving modeling methods. I

Artificial intelligence (AI), in simulating features of biological processes in computational models, offers clues to the complex functioning of the nervous system and applies these to real-life probl

The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natur

Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or

Maya 8 Character Modeling takes a unique approach to modeling as it breaks down character creation using an easy-to-follow formula that makes the learning process less daunting. The author presents an

Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.

Dynamic Modeling of Musculoskeletal Motion introduces biomechanists to modern methods of modeling and analyzing dynamic biomechanical systems in three dimensions. Using vector kinematics, the reader i

Fought on what to Westerners was a remote peninsula in northeast Asia, the Korean War was a defining moment of the Cold War. It militarized a conflict that previously had been largely political and ec

Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, a

The most famous challenge to computational cognitive science and artificial intelligence is the philosopher John Searle's "Chinese Room" argument. Searle argued that, although machines can b

Human conflict - from family feuds, to labor strikes, to national warfare - is an ever-present and universal social problem and the methods to manage it, a challenge for everyone, from average citizens to policymakers and social theorists. Using Conflict Theory will educate students about how, under what conditions, and why conflict erupts, and how it can be managed. It is a unique classroom book blending theory and practical application and the first to bridge for students the science of social theory and the art of practice. The authors extract from classical sociological theory (Marx, Dahrendorf, Weber, Durkheim, and Parsons), and interpret for the student how these theoretical perspectives have contributed to understanding social conflict (its sources, the causes of escalation and de-escalation of violence, the negotiations process). The perspectives of contemporary theorists (such as Randall Collins, James Coleman, Joseph Himes, Hubert Blalock) are also brought to bear on these q

Human conflict - from family feuds, to labor strikes, to national warfare - is an ever-present and universal social problem and the methods to manage it, a challenge for everyone, from average citizens to policymakers and social theorists. Using Conflict Theory will educate students about how, under what conditions, and why conflict erupts, and how it can be managed. It is a unique classroom book blending theory and practical application and the first to bridge for students the science of social theory and the art of practice. The authors extract from classical sociological theory (Marx, Dahrendorf, Weber, Durkheim, and Parsons), and interpret for the student how these theoretical perspectives have contributed to understanding social conflict (its sources, the causes of escalation and de-escalation of violence, the negotiations process). The perspectives of contemporary theorists (such as Randall Collins, James Coleman, Joseph Himes, Hubert Blalock) are also brought to bear on these q

The authors begin with basic electromagnetics, such as Maxwell's equations, and present modeling, theory, and computational results. The book systematically exploits interface phenomena, the electrody

The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have g

This book treats computational modeling of structures in which strong nonlinearities are present. It is therefore a work in mechanics and engineering, although the discussion centers on methods that a

A comprehensive procedure for systematically examining actual disputes. Clearly explains the theory and practice of this novel approach to conflict modeling, analysis and resolution. Based upon ideas

At a level accessible to introductory students, examines the nature of cognition and approaches to modeling it. Considers the computational nature of cognition and the role it plays in language and ot

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena - including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning?

為【劍橋英語教學大師口袋書系列】書籍，內容以「如何有效運用AI提升語言教學」為主軸，提供教學實務上的運用指南與建議，可做為英語教師師培課程用書或課程設計參考書。In this user-friendly book, Nicky Hockly draws on research and her own experience to examine the benefits and challenges of using AI in language teaching. The book provides a range of guidance on good practices in using the technology, with simple tips for applying the learning. It explores some of the key ethical, moral, philosophical and legal questions around using AI and covers topics including accessibility, data ownership and concerns around students cheating. The book also includes support for using AI to help teachers and learners develop. Nicky Hockly's 30 Essentials for Using Artificial Intelligence is an essential guide for teachers of all levels of experience.

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.New for the second edition:“Programming-language agnostic” presentation using pseudocode.New chapter 1 covering

A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today’s primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems―“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving