The Agent Modeling Language - AML: A Comprehensive Approach to Modeling Multi-Agent Systems (Whitestein Series in Software Agent Technologies and Autonomic Computing)

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The Agent Modeling Language - AML: A Comprehensive Approach to Modeling Multi-Agent Systems (Whitestein Series in Software Agent Technologies and Autonomic Computing) Overview

Multi-agent systems are already a focus of studies for more than 25 years. Despite substantial effort of an active research community, modeling of multi-agent systems still lacks complete and proper definition, general acceptance, and practical application. Due to the vast potential of these systems e.g., to improve the practice in software and to extent the applications that can feasibly be tackled, this book tries to provide a comprehensive modeling language - the Agent Modeling Language (AML) - as an extension of UML 2.0, concentrating on multi-agent systems and applications.

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Simulations and the Future of Learning: An Innovative (and Perhaps Revolutionary) Approach to e-Learning

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Simulations and the Future of Learning: An Innovative (and Perhaps Revolutionary) Approach to e-Learning Overview

Simulations and the Future of Learning offers trainers and educators the information and perspective they need to understand, design, build, and deploy computer simulations for this generation. Looking back on his recent first-hand experience as lead designer for an advanced leadership development simulation, author Clark Aldrich has created a detailed case study of the creation and deployment of an e-learning simulation that had the development cycle of a modern computer game. With this book Aldrich, a leader in the e-learning field, has created an intriguing roadmap for the future of learning while taking us along on an entertaining rollercoaster ride of trial and error, success and failure. Simulations and the Future of Learning outlines the design principles and critical decisions around any simulation's components— the interface, the physics and animation systems, the artificial intelligence, and sets and figures. Using this accessible resource, readers will learn how to create and evaluate successful simulations that have the following characteristics: authentic and relevant scenarios; applied pressure situations that tap user's emotion and force them to act; a sense of unrestricted options; and replayability.

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• Learning by Doing: A Comprehensive Guide to Simulations, Computer Games, and Pedagogy in e-Learning and Other Educational Experiences
• Digital Game-Based Learning
• The Complete Guide to Simulations and Serious Games: How the Most Valuable Content Will be Created in the Age Beyond Gutenberg to Google (Pfeiffer Essential ... Resources for Training and HR Professionals)
• What Video Games Have to Teach Us About Learning and Literacy. Second Edition: Revised and Updated Edition
• Serious Games: Games That Educate, Train, and Inform

Railroad Vehicle Dynamics: A Computational Approach

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Railroad Vehicle Dynamics: A Computational Approach Overview

The methods of computational mechanics have been used extensively in modeling many physical systems. The use of multibody-system techniques, in particular, has been applied successfully in the study of various, fundamentally different applications.

Railroad Vehicle Dynamics: A Computational Approach presents a computational multibody-system approach that can be used to develop complex models of railroad vehicle systems. The book examines several computational multibody-system formulations and discusses their computer implementation. The computational algorithms based on these general formulations can be used to develop general- and special-purpose railroad vehicle computer programs for use in the analysis of railroad vehicle systems, including the study of derailment and accident scenarios, design issues, and performance evaluation.

The authors focus on the development of fully nonlinear formulations, supported by an explanation of the limitations of the linearized formulations that are frequently used in the analysis of railroad vehicle systems. The chapters of the book are organized to guide readers from basic concepts and definitions through a final understanding of the utility of fully nonlinear multibody- system formulations in the analysis of railroad vehicle systems.

Railroad Vehicle Dynamics: A Computational Approach is a valuable reference for researchers and practicing engineers who commonly use general-purpose, multibody-system computer programs in the analysis, design, and performance evaluation of railroad vehicle systems.

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• Handbook of Railway Vehicle Dynamics
• Fundamentals of Rail Vehicle Dynamics (Advances in Engineering Series)
• Railway Management And Engineering
• Railroad Engineering
• Railroad Signaling

Introduction to Scientific Computing: A Matrix-Vector Approach Using MATLAB (2nd Edition)

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Introduction to Scientific Computing: A Matrix-Vector Approach Using MATLAB (2nd Edition) Overview

Unique in content and approach, this book covers all the topics that are usually covered in an introduction to scientific computing--but folds in graphics and matrix-vector manipulation in a way that gets readers to appreciate the connection between continuous mathematics and computing. MATLAB 5 is used throughout to encourage experimentation, and each chapter focuses on a different important theorem--allowing readers to appreciate the rigorous side of scientific computing. In addition to standard topical coverage, each chapter includes 1) a sketch of a “hard” problem that involves ill-conditioning, high dimension, etc.; 2)at least one theorem with both a rigorous proof and a “proof by MATLAB” experiment to bolster intuition; 3)at least one recursive algorithm; and 4)at least one connection to a real-world application. The book revolves around examples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Power Tools of the Trade. Polynomial Interpolation. Piecewise Polynomial Interpolation. Numerical Integration. Matrix Computations. Linear Systems. The QR and Cholesky Factorizations. Nonlinear Equations and Optimization. The Initial Value Problem. For engineers and mathematicians.

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• Introduction to Numerical Analysis (Texts in Applied Mathematics)
• Differential Equations and Dynamical Systems
• Numerical Methods in Economics
• Object-Oriented and Classical Software Engineering
• Schaum's Outline of Partial Differential Equations (Schaum's)

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

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Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning) Overview

An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models--and to automate the process as much as possible. In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.

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• Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
• Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins
• An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
• Pattern Recognition and Machine Learning (Information Science and Statistics)

Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks (Lecture Notes in Statistics)

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Multivariate Nonparametric Methods with R: An approach based on spatial signs and ranks (Lecture Notes in Statistics) Overview

This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory.

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Learning 3d Studio Viz: A Tutorial Approach

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This book is helpful for anyone that wants to master the complicated world of 3d Stidio VIZ. After going thru Autodesk's tutorials and not learning much, I turned to this book, and I am greatful. Now I have a much better understanding of "Viz", this is a must read book.

Learning 3d Studio Viz: A Tutorial Approach Overview

Covers major aspects of 3D Studio VIZ in a learnby-example text. Provides an overview of 3D Studio VIZ to get a good idea of what the software can do. Softcover. CD-ROM included. DLC: Computer animation.

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• Mastering Autodesk VIZ 4 (With CD-ROM)

Control Tutorials for MATLAB and Simulink: A Web-Based Approach

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These tutorials help you learn how to use Matlab and Simulink for the analysis and design of automatic control systems. They cover the basics of Matlab and Simulink and the most common classical control design techniques (PID, root locus, and frequency response), as well as some modern (state-space) control design techniques and digital control.

If you are looking for an interactive way to learn about Matlab and Simulink in Control applications, this book and the companion CD will be most useful for you.

I am a professional practitioner of Process Measurement and Control. I have been working for most than 16 years as an Instrumentation, Automation, and Process Safety an Control Engineer for the Oil & Gas Industry. I found this book to be an excellent learning tool for the professional, and I bet that students will also find it useful.

Control Tutorials for MATLAB and Simulink: A Web-Based Approach Overview

* MATLAB(r) is an interactive program for numerical computation and data visualization that has become an essential tool for control engineers. The Control Tutorials for MATLAB and Simulink (r) included in this package provide a uniquely friendly and quick way to learn how to use MATLAB. The tutorials focus on analysis and design of automatic control systems, covering the basics of MATLAB, the most common classical control design techniques, and some modern (state-space) control design. * Using web-browser technology, the Control Tutorials allow students to learn MATLAB and Simulink by seeing and doing, practically eliminating the frustration of having to decipher a new software package. Because the Control Tutorials are on screen simultaneously with the software application being taught, they streamline and focus the learning experience by eliminating the distracting process of having to switch attention back and forth between a textbook and the computer screen.

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Modeling and Simulating Communications Networks: A Hands-on Approach Using OPNET

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Modeling and Simulating Communications Networks: A Hands-on Approach Using OPNET Overview

Students of network communications learn about many different network protocols and configurations, but seldom have the opportunity to actively use them and learn first-hand the performance trade-offs involved in designing a network. Network modeling and simulating overcomes this limitation. This book presents six labs that allow students to examine various protocols and the factors that affect their performance. These studies include: effect of packet arrival rate and size on a queue; behavior of various automatic request (ARQ) protocols; performance characteristics of several multiaccess protocols, such as ALOHA, CSMA-CD, and Token Ring; throughput and end-to-end delay in a wide area network using Frame Relay; and link utilization and other metrics in a Fiber Distributed Data Interface (FDDI) network. This book can be used alone or in conjunction with a text on network communications.

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