Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
This up-to-date text/reference is designed to present the fundamental principles of robotics with a strong emphasis on engineering applications and industrial solutions based on robotic technology. It can be used by practicing engineers and scientists -- or as a text in standard university courses in robotics. The book has extensive coverage of the major robotic classifications, including Wheeled Mobile Robots, Legged Robots, and the Robotic Manipulator. A central theme is the importance of kinematics to robotic principles. The book is accompanied by a CD-ROM with MATLAB simulations, third party applications, and more. FEATURES +Discusses the major robot classifications including Wheeled Mobile Robots, Legged Robots, and the Robotic Manipulator +Provides an introduction to basic mechanics and electronics; presents mathematical modeling concepts; and performs robotic simulations using MATLAB +Includes extensive coverage of kinematics, integrated throughout the book whenever appropriate +Includes a CD-ROM with demos, MATLAB simulations, and figures.
This comprehensive textbook provides a broad and in-depth overview of embedded systems architecture for engineering students and embedded systems professionals. The book is well suited for undergraduate embedded systems courses in electronics/electrical engineering and engineering technology (EET) departments in universities and colleges, as well as for corporate training of employees.
The book is a readable and practical guide covering embedded hardware, firmware, and applications. It clarifies all concepts with references to current embedded technology as it exists in the industry today, including many diagrams and applicable computer code. Among the topics covered in detail are:
· hardware components, including processors, memory, buses, and I/O
· system software, including device drivers and operating systems
· use of assembly language and high-level languages such as C and Java
· interfacing and networking
· case studies of real-world embedded designs
· applicable standards grouped by system application
Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all domains.
Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms. This comprehensive collection provides libraries with a one-stop resource to equip the academic, industrial, and managerial communities with an in-depth look into the most pertinent AI advances that will lead to the most valuable applications.
Programming Game AI by Example
Wordware Publishing Inc.,U.S. (1 Oct 2004) | ISBN: 1556220782 | English | CHM | 8.69 Mb | 500 Pages
With the recent success of such games as Microsoft's Halo, artificial intelligence has taken a bigger role in the gaming industry and a few books have emerged with an academic, theoretical approach to the topic. AI Game Programming by Example describes in detail many of the AI techniques used in modern computer games.
Programming by Example describes in detail many of the AI techniques used in modern computer games and, more importantly, explicitly shows the reader how to implement these practical AI techniques within the framework of several popular game genres. These features, combined with the exercises throughout the book, provide game developers with a practical foundation to game AI.
Programming Game AI by Example provides a comprehensive and practical introduction to the "bread and butter" AI techniques used by the game development industry, leading the reader through the process of designing, programming, and implementing intelligent agents for action games using the C++ programming language.
Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.
Zongmin Ma, "Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source)"
Information Science Reference | 2008-11-26 | ISBN: 1605661740 | 450 pages | PDF | 12,3 MB
The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data.
Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners..
M. Tim Jones, "Artificial Intelligence: A Systems Approach "
Chapman | 2007 | ISBN: 0977858235 | 500 pages | PDF | 6,5 MB
This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more.
Human Computer Interaction
Publisher: IN-TECH | ISBN: 9537619190 | edition 2008 | PDF | 370 pages | 37,9 mb
This book introduces basic research, advanced developments and applications. The book covers topics such as modeling and practical realization of robotic control for different applications, researching of the problems of stability and robustness, automation in algorithm and program developments with application in speech signal processing and linguistic research, system's applied control, computations, and control theory application in mechanics and electronics.
Jean J. Labrosse, Jack Ganssle, Robert Oshana, Colin Walls, Keith E. Curtis, "Embedded Software"
Newnes | 2007 | ISBN: 0750685832 | 792 pages | PDF | 8,2 MB
Embedded software is present everywhere from a garage door opener to implanted medical devices to multicore computer systems. This book covers the development and testing of embedded software from many different angles and using different programming languages. Optimization of code, and the testing of that code, are detailed to enable readers to create the best solutions on-time and on-budget. Bringing together the work of leading experts in the field, this a comprehensive reference that every embedded developer will need!
Chapter 1: Basic Embedded Programming Concepts
Chapter 2: Device Drivers
Chapter 3: Embedded Operating Systems
Chapter 4: Networking
Chapter 5: Error Handling and Debugging
Chapter 6: Hardware/Software Co-Verification
Chapter 7: Techniques for Embedded Media Processing
Chapter 8: DSP in Embedded Systems
Chapter 9: Practical Embedded Coding Techniques
Chapter 10: Development Technologies and Trends
*Proven, real-world advice and guidance from such name authors as Tammy Noergard, Jen LaBrosse, and Keith Curtis
*Popular architectures and languages fully discussed
*Gives a comprehensive, detailed overview of the techniques and methodologies for developing effective, efficient embedded software