[pdf] Heuristics: Intelligent Search Strategies For Computer Problem Solving (the Addison Wesley Series in Artificial Intelligence)

Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored. In this text, the authors take a broad brush view of the field in an attempt to bring together many of the results that have been achieved, presenting a general taxonomy of the field and the various key representative algorithms.

The main goal of the COOP conferences is to contribute to the solution of problems related to the design of cooperative systems, and to the integration of these systems in organizational settings.

A Paradigm for Decentralized Process Modeling presents a novel approach to decentralized process modeling that combines both trends and suggests a paradigm for decentralized PCEs, supporting concerted efforts among geographically-dispersed teams - each local individual or team with its own autonomous process - with emphasis on flexible control over the degree of collaboration versus autonomy provided. A key guideline in this approach is to supply abstraction mechanisms whereby pre-existing processes (or workflows) can be encapsulated and retain security of their internal artifacts and status data, while agreeing with other processes on formal interfaces through which all their interactions are conducted on intentionally shared information.

The book is primarily intended for use as a graduate-level textbook and for practising engineers. It is expected that the reader should be familiar with the concepts taught in basic introductory courses in analog circuits. Relying on that proper background knowledge the book presents the material on an intuitive basis with a minimum use of mathematical quantitative analysis. Therefore, the insight induced by the book will favour that kind of knowledge gathering required for the design of high-performance analog circuits. The book favours this important process with a number of inserts providing hints or advises on key features of the topic studied.

Real-Time Systems: Design Principles for Distributed Embedded Applications focuses on hard real-time systems, which are computing systems that must meet their temporal specification in all anticipated load and fault scenarios. The book stresses the system aspects of distributed real-time applications, treating the issues of real-time, distribution and fault-tolerance from an integral point of view. A unique cross-fertilization of ideas and concepts between the academic and industrial worlds has led to the inclusion of many insightful examples from industry to explain the fundamental scientific concepts in a real-world setting. Thus, this book serves as an excellent text for advanced level courses on real-time systems.