Highlighting and illustrating several important and interesting theoretical trends that have emerged in the continuing development of instructional technology, this book's organizational framework is based on the notion of two opposing camps. One evolves out of the intelligent tutoring movement, which employs artificial-intelligence technologies in the service of student modeling and precision diagnosis, and the other emerges from a constructivist/developmental perspective that promotes exploration and social interaction, but tends to reject the methods and goals of the student modelers. While the notion of opposing camps tends to create an artificial rift between groups of researchers, it represents a conceptual distinction that is inherently more interesting and informative than the relatively meaningless divide often drawn between "intelligent" and "unintelligent" instructional systems.
An evident trend is that researchers in both "camps" view their computer learning environments as "cognitive tools" that can enhance learning, performance, and understanding. Cognitive tools are objects provided by the instructional environment that allow students to incorporate new auxiliary methods or symbols into their social problem solving which otherwise would be unavailable. A final section of the book represents researchers who are assimilating and accommodating the wisdom and creativity of their neighbors from both camps, perhaps forming the look of technology for the future. When the idea of model tracing in a computer-based environment is combined with appreciation for creative mind-extension cognitive tools and for how a community of learners can facilitate learning, a camp is created where AI technologists and social constructivist learning theorists can feel equally at home.

Related to the earlier well-known ACT production system theory, this book's basic goal is to present evidence for the psychological reality of a production system model of mind. Distinguished from the original theory in three ways, this volume uses the rational analyses of Anderson (1990) to improve upon that theory and extend its scope. It also relates the theory to a great deal of new data on the performance and acquisition of cognitive skills.
The new theory -- ACT-R -- involves a neurally plausible implementation of a production system architecture. Rational analysis is used to structure and parameterize the system to yield optimal information processing. The theory is applicable to a wide variety of research disciplines, including memory, problem solving, and skill acquisition. Using intelligent tutors, much of the data is concerned with the acquisition of cognitive skills. The book provides analyses of data sets describing the extended course of the acquisition of mathematical and computer programming skills.

Bringing concrete examples from industry to light, this book explains how to use Blender to create visual effects for video/film production. It supplies readers with a practical way to learn how to use Blender's tools across a wide range of scenarios in video/film production, including setting up cameras on a stage, lighting, and other production processes. Maintaining a focus on composition, the book not only explains how to use the most common tools, such as tracking, rendering, and compositing, but also explains how to deal with software limitations and sort out problems. Since the best way to learn something is with a practical example, this book follows one of the author's own projects, starting with how to prepare the elements that will be needed later on. The example illustrates how to use Blender tools and features for scene tracking, setup, rendering, masking, and other post-production functions-from start to finish in a professional workflow. The book examines all the compositing nodes that can be used in Blender. It details time-saving tips, features such as the motion tracker, and rendering techniques so readers will have enough information to accomplish the most common tasks encountered in the creation of a professional visual effects composition. By following the example project presented in the book, you will gain the practical understanding required to use Blender's tools in the most common scenarios in video/film production. You will also gain industry insights into the limitations of the software and how to sort out the problematic scenarios that may come up through the various stages of your project.

Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer vision algorithms. It explores the integration of new capture modalities, reconstruction approaches, and visual perception into the computer graphics pipeline. Understand the Entire Pipeline from Acquisition, Reconstruction, and Modeling to Realistic Rendering and Applications The book covers sensors for capturing 3D scenes, including regular cameras, wide-angle omnidirectional cameras, active range scanners, and plenoptic (multi-viewpoint) cameras, as well as fundamental algorithms for processing the imagery, such as stereo correspondence and 3D structure and motion recovery. It describes 3D modeling techniques, from generic object models (such as 3D meshes) to more domain-specific models (such as human shape and motion models). The book also discusses how techniques, including image- and video-based rendering, meet speed and realism requirements. Overcome Challenges in Your Own Research Experiments This book is both an accessible introduction to the emerging research of real-world visual computing and a practical guide that shows you how to start implementing frequently encountered methods.

Unity brings you ever closer to the "author once, deploy anywhere" dream. With its multiplatform capabilities, you can target desktop, web, mobile devices, and consoles using a single development engine. Little wonder that Unity has quickly become the #1 game engine out there. Mastering Unity is absolutely essential in an increasingly competitive games market where agility is expected, yet until now practical tutorials were nearly impossible to find. Creating Games with Unity and Maya gives you with an end-to-end solution for Unity game development with Maya. Written by a twelve-year veteran of the 3D animation and games industry and professor of 3D animation, this book takes you step-by-step through the process of developing an entire game from scratch-including coding, art, production, and deployment. This accessible guide provides a "non-programmer" entry point to the world of game creation. Aspiring developers with little or no coding experience will learn character development in Maya, scripts, GUI interface, and first- and third-person interactions.

This text identifies and discusses emerging challenges and opportunities arising from advanced-technology simulation-based microworld analogues of operational environments. These scaled worlds have been used and advocated for many years. A major transformation is expected in research and training using new, more advanced versions of these systems. Technology now affords new capabilities using PC-based systems. Complex and distributed expert decision making and team performance can be elicited and rehearsed through affordable and easily distributed systems. These new systems will transform the nature of research and training on two fronts: (1) the content internal (i.e. laboratory control) and external validity, and (2) who can do the research and/or training, as these new systems offer more opportunities/options. train, educate and/or utilize individuals who may be distributed across the globe. Researchers across the globe will also use these new capabilities, forging new and multi-discipline research as new alliances and collaborations are enabled. Research previously restricted to highly realistic and restricted high-fidelity systems will be open to more participants and these new processes and systems will create new opportunities. Such systems will offer more realism, control and feedback to researchers and trainers. Distributed systems can link multiple nodes, allowing many participants to perform within a shared scenario. Scenarios are more easily constructed and controlled. Opportunities using these internet-based systems are clear, as evidenced by high funding and investments in advanced internet-based training systems. Universities, corporations and DoD organizations are rapidly escalating their use of such systems for collaborative research, education, distributed training and distance learning. education and training for most performance domains. Low to medium fidelity environments capture knowledge and performance requirements while retaining high levels of experimental control and generalizability. This book goes further than others on simulation-based training and research (which focus on highly realistic systems) by addressing the issues of scale, fidelity and purpose in more abstracted scaled world systems. It brings together experts who use these systems, from a variety of perspectives. Their contributions document emerging trends and issues with regard to development, utilization and validation of these emerging scaled world systems.

A collection of 100 conference papers divided into five sections: computational advances and multiscale modelling; constitutive modelling; modelling in multiphysics phenomena and time effects; modelling of structural performance; and modelling of seismic and cyclic response.

Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributions in Simulation Systms are freom leading researchers and practioners which explore a wide spectrum of topics. The chapters include topics such as presentation of SIMULA/OBJECTR, which is a query driven simulation support environment and a method of translating automatically digital logic equations so that they may be simulated using VHDL. This is followed by simulation techniques for deterministic and statistical circuit design optimization. A mathematical model of a magnetic resonance imaging system is simulated so that one can better understand the imaging system.

Environmental science combined with computer technology. One click on a mouse and information flows into your PC from up to 10,000 miles away. When you receive this information you can ferret through the data and use it in any number of computer programs. The result: solutions to plant design problems that affect the health and well being of people around the globe. What does that mean to you, the environmental professional, scientist, or engineer?
Computer Simulated Plant Design for Waste Minimization/Pollution Prevention builds on the concepts introduced in Stan Bumble's Computer Generated Physical Properties, the first volume of the Computer Modeling for Environmental Management series. Bumble discusses using computer simulation programs to solve problems in plant design before they occur. He covers design issues for stationary and non-stationary sources of pollution, global warming, troposcopic ozone, and stratospheric ozone.
With Computer Simulated Plant Design for Waste Minimization/Pollution Prevention you will understand how to use computer technology to design plants that generate little or no pollution. Even better, you can use the information generated by computer simulation for technical data in proposals, presentations and as the basis for making policy decisions.

This volume presents computer simulation methods and mathematical modelling of physical processes used in surface science research. It offers in-depth analysis of advanced theoretical approaches to behaviours of fluids in contact with porous, semiporous and nonporous solid surfaces. The book also explores interfacial systems for a wide variety of phenomena, including: absorption, flotation, osmosis, and colloidal stability.

Focuses on the argument that performance modelling and simulation has become a central issue in computer science and engineering, in part due to its applications to the structures comprising the internet. Dealing primarily with theory, tools, and techniques related to communications systems, it provides tutorials and surveys and relates new important research results. Each chapter provides background information, describes and analyses important work done in the field, and provides important direction to the reader on future work and further readings. The topics covered include traffic models for ATM networks, simulation environments, analytical methods, interprocessor communications and an evaluation of process architectures.

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.

The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines.

"An Introduction to Genetic Algorithms" is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text.

The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

Authors Ita G. G. Kreft and Jan de Leeuw have provided the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioral, and educational research and it is clear from recent developments that such models are seen as more realisticùand potentially more revealingùthan ordinary regression models. While other books describe these multilevel models in considerable detail none focus on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authorsÆ approach is user-oriented, keeping formal mathematics and statistics to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling.

This text brings together topical contributions from figures in the field of games and simulations, representing the current international thinking and best practice.

This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems; and a chapter on the computer animation and visualization of dynamical systems motion.;College or university bookstores may order five or more copies at a special student price, available on request from Marcel Dekker Inc.

Kinetic models are becoming standard tools in the research of biological systems. They are used to represent hypotheses, analyze data, and design experiments to maximize the information obtained from a study. Kinetic Models of Trace Element and Mineral Metabolism During Development describes models for calcium, chromium, copper, iron, iodide, lead, mercury, selenium, zinc, and others in health and disease.

The proceedings of the Second International Conference on [title] held in Barcelona, Spain, September/October 1991, comprise papers on topics in ocean circulation, wave structure interaction, water quality and biological modeli harbor resonance, coastal circulation, random waves description, sedimen

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Master the art of 3D printing with step-by-step tutorials and DIY projectsAre you ready to join the new industrial revolution? 3D Printing with Autodesk 123D, Tinkercad, and MakerBot reveals how to turn your ideas into physical products that you can use or sell! You'll learn how tooperate powerful, free software from Autodesk and bring your creations to life with the MakerBot--a leading consumer printer--or an online service bureau. Practical examples take you through the Design, Catch, Meshmixer, Tinkercad, Make, and CNC Utility apps, and the MakerBot Desktop. Fun projects, easy-to-follow instructions, and clear screenshots progress from installing the software to printing the design. Videos and digital files accompany this hands-on guide. Make your own creations with Design and Tinkercad Download editable, premade content Generate construction documents with the LayOut feature Create and edit a reality capture model with Catch Edit and mash up .stl files with Meshmixer Navigate the MakerBot Desktop Print the model on your own machine or with a service bureau

A practical, hands-on guide to creating some of the most stunning computer-generated images possible. It caters to the design masses; architects, engineers, interior designers, industrial designers, photographers, and enthusiasts will find this book essential in their quest to express themselves through visual communication.

Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networking, and robotics. Containing contributions from leading researchers from around the world, the book investigates the fundamental aspects and applications of bio-inspired computing and networking. Presenting the latest advances in bio-inspired communication, computing, networking, clustering, optimization, and robotics, the book considers state-of-the-art approaches, novel technologies, and experimental studies, including bio-inspired: * Optimization of dynamic NP-hard problems * Top-down controller design for distributing a robot swarm among multiple tasks * Self-organizing data and signals cellular systems * Dynamic spectrum access in cognitive radio networks * QoS-aware architecture for scalable, adaptive, and survivable network systems * Locomotion control of the Hexapod Robot Gregor III The book explores bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. Providing wide-ranging coverage that includes past approaches, current challenges, and emerging concepts such as the evolution and self-healing of network architectures and protocols, this comprehensive reference provides you with the well-rounded understanding you need to continue the advancement of the development, design, and implementation of bio-inspired computing and networking.

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems.

This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems.

Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.

This book develops a theory for transactions that provides practical solutions for system developers, focusing on the interface between the user and the database that executes transactions. Atomic transactions are a useful abstraction for programming concurrent and distributed data processing systems. Presents many important algorithms which provide maximum concurrency for transaction processing without sacrificing data integrity. The authors include a well-developed data processing case study to help readers understand transaction processing algorithms more clearly. The book offers conceptual tools for the design of new algorithms, and for devising variations on the familiar algorithms presented in the discussions. Whether your background is in the development of practical systems or formal methods, this book will offer you a new way to view distributed systems.

Now a large growth area in computing, multimedia is becoming more accessible to those who need it most - artists, musicians, educators, publishers, advertisers, marketing people, and so on - and who feel that interactive sound and video is the way forward in their business. This book should benefit all those who are now building (authoring) or considering building multimedia applications.;This is above all a practical book about multimedia PCs and applications, featuring extensive and detailed examples of how multimedia applications are authored, and taking a tutorial approach.;A disk is available to support the book, containing multimedia applications to run instantly (authored by using ToolBook) and a Windows video recorder (VFW compatible) so the applications can run on any multimedia PC.;This book should be of interest to users or potential users of multimedia PCs and those considering upgrading an "ordinary" PC to a multimedia one.

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.

The authors have developed a computer program that can be of valuable assistance in surgical decision-making for strabismus surgery. The combination of diagnostic data of individual surgical cases, related diagnosis and treatments are incorporated into a well designed, clinically applicable software system. A new way of interactive, virtual eye muscle surgery and preoperative planning is proposed, based on a biomechanical model of the human eye, which enables the prediction of surgical outcomes on the basis of objective, anatomically related and measured data. Additionally, a realistic three-dimensional visualization of the human eyes and their muscles is used to support detailed evaluation and meaningful interpretation of eye motility disorders. This software system is not intended to replace common clinical diagnostics, nor surgical expertise but it should improve the accuracy of clinical decisions in an objective manner.