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Morgan Kaufmann

  • Proceedings 1988 VLDB Conference

    14th International Conference on Very Large Data Bases
    • 1st Edition
    • VLDB
    • English

  • Practical Planning

    Extending the Classical AI Planning Paradigm
    • 1st Edition
    • David E. Wilkins
    • English
    Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners.Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included.Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.

  • Probabilistic Reasoning in Intelligent Systems

    Networks of Plausible Inference
    • 1st Edition
    • Judea Pearl
    • English
    Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.Probabil... Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

  • Computer-Supported Cooperative Work

    A Book of Readings
    • 1st Edition
    • Irene Greif
    • English
    Computer-supported cooperative work is a field devoted to understanding group work processes and developing tools to enhance collaborative efforts. This book provides a comprehensive view of this dynamic area through a collection of articles from its diverse contributing fields, with introduction and analysis by the editor.Part 1 provides a concise history of the field, defining its early goals and seminal projects. In Part 2, current projects and their underlying technologies, including hypertext and database technologies for information sharing, are presented and evaluated. Finally, Part 3 outlines the theories and empirical studies guiding system design based on understanding human dynamics as well as system dynamics. Each section includes reprints, attractively re-typeset, of important papers from the seminal conferences and publications laying the foundations for the field.

  • Prosody and Speech Recognition

    • 1st Edition
    • Alexander Waibel
    • English

  • DARPA Image Understanding Proceedings 1987

    • 1st Edition
    • DARPA
    • English

  • Spatial Reasoning and Multi-Sensor Fusion

    Proceedings of the 1987 Workshop
    • 1st Edition
    • Avi Kak + 1 more
    • English

  • Introduction to Common Lisp

    • 1st Edition
    • Taichi Yuasa et
    • English
    Common List has become the the internationally standardized specification as it has been designed by many researchers and system developmers; programmes are highly transportable between systems and the specification of the language is independent of the hardware and the operating system. Introduction to Common Lisp is designed to explain Common Lisp in a way that can be understood by beginneers. It explains programming ideas such as list processing and symbolic processing using Common Lisp. Included is examples of the actual interaction with the system for the reader and can be used while using or not using the system. Variations of the startup and and the handling of errors on different systems is supplied.

  • Reading in Nonmonotonic Reasoning

    • 1st Edition
    • Matthew L. Ginsberg
    • English

  • Readings in Natural Language Processing

    • 1st Edition
    • Barbara J. Grosz + 2 more
    • English

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