Blackboard Architectures and Applications focuses on studies done on blackboard architecture in the industries and academe. Particularly given value is the role this paradigm plays in distributed problem solving, parallelism, and intelligent real-time systems. Composed of 21 chapters, the book contains the literature of authors who have diligently conducted studies on this concern. The book starts by discussing the blackboard model of problem solving, including control and organization, wherein goal relationships and their use in blackboard architecture are noted. Also given attention are BBI basic control loop, an empirical comparison of explicit and implicit control architectures, and the dynamic integration of reasoning methods. The book then proceeds with discussions on the concurrency and parallelism of advanced architectures. Taken into consideration include design alternatives for parallel and distributed blackboard systems; the parallelization of blackboard architectures and the Agora system; and a comparison of the cage system and polygon architecture. Real-time blackboard architecture systems are also explored. This part contains experiments, frameworks, and methods designed to approximate processing in real-time problem solving. The text also points at developments in blackboard systems. Given attention are the architecture of ATOME, performance of GBB, the Erasmus system, and the use of blackboard system for distributed problem solving. The book finally focuses on object-oriented blackboard architecture for model-based diagnostic reasoning; dynamic instructional planning in the BB1 architecture; and consideration of blackboard model for cockpit information management. The book is a vital source of data for those wanting to explore the potential of artificial intelligence.

This work is intended as a tutorial textbook on blackboard systems. Initially, exercises require discursive or descriptive answers; later exercises require design studies. It ends with a detailed description of a small system and the reader is asked to design and implement extensions to it.

What Is Blackboard System A blackboard system is an artificial intelligence technique that is based on the blackboard architectural model. In this paradigm, a common knowledge base, also known as the "blackboard," is iteratively updated by a diverse set of expert knowledge sources, beginning with a problem specification and ending with a solution. A blackboard system is also known as a blackboard system. If a knowledge source's internal constraints are satisfied by the current state of the blackboard, then that knowledge source contributes a partial solution to the blackboard. The problem is ultimately solved as a result of the combined efforts of the specialists. The blackboard model was at first conceived as a method for dealing with difficult, ill-defined situations in which the solution is equal to the total of the problem's components. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Blackboard System Chapter 2: Artificial Intelligence Chapter 3: Expert System Chapter 4: Knowledge Representation and Reasoning Chapter 5: Distributed Artificial Intelligence Chapter 6: Symbolic Artificial Intelligence Chapter 7: Collaborative Intelligence Chapter 8: Multi-Agent System Chapter 9: Knowledge-Based Systems Chapter 10: Outline of Artificial Intelligence (II) Answering the public top questions about blackboard system. (III) Real world examples for the usage of blackboard system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of blackboard system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of blackboard system.

Object-Oriented Design with Applications has long been the essential reference to object-oriented technology, which, in turn, has evolved to join the mainstream of industrial-strength software development. In this third edition--the first revision in 13 years--readers can learn to apply object-oriented methods using new paradigms such as Java, the Unified Modeling Language (UML) 2.0, and .NET. The authors draw upon their rich and varied experience to offer improved methods for object development and numerous examples that tackle the complex problems faced by software engineers, including systems architecture, data acquisition, cryptoanalysis, control systems, and Web development. They illustrate essential concepts, explain the method, and show successful applications in a variety of fields. You'll also find pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management. New to this new edition are An introduction to the new UML 2.0, from the notation's most fundamental and advanced elements with an emphasis on key changes New domains and contexts A greatly enhanced focus on modeling--as eagerly requested by readers--with five chapters that each delve into one phase of the overall development lifecycle. Fresh approaches to reasoning about complex systems An examination of the conceptual foundation of the widely misunderstood fundamental elements of the object model, such as abstraction, encapsulation, modularity, and hierarchy How to allocate the resources of a team of developers and mange the risks associated with developing complex software systems An appendix on object-oriented programming languages This is the seminal text for anyone who wishes to use object-oriented technology to manage the complexity inherent in many kinds of systems. Sidebars Preface Acknowledgments About the Authors Section I: Concepts Chapter 1: Complexity Chapter 2: The Object Model Chapter 3: Classes and Objects Chapter 4: Classification Section II: Method Chapter 5: Notation Chapter 6: Process Chapter 7: Pragmatics Chapter 8: System Architecture: Satellite-Based Navigation Chapter 9: Control System: Traffic Management Chapter 10: Artificial Intelligence: Cryptanalysis Chapter 11: Data Acquisition: Weather Monitoring Station Chapter 12: Web Application: Vacation Tracking System Appendix A: Object-Oriented Programming Languages Appendix B: Further Reading Notes Glossary Classified Bibliography Index

Computer Architecture/Software Engineering