Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) - Image 1

Price loading...

Morgan Kaufmann Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

Name: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)
Brand: Morgan Kaufmann

AI & Machine Learning

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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. Probabilistic 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.

Key Features

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

Product type: ABIS BOOK

Morgan Kaufmann

Product Specifications

Brand: Morgan Kaufmann
Format: paperback
ASIN: 1558604790
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 September 1988
Listed Since: 15 December 2006

Barcode

No barcode data available

Morgan Kaufmann Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Probabilistic Graphical Models – Principles and Techniques (Adaptive Computation and Machine Learning series)

Logical Foundations of Artificial Intelligence

Uncertainty in Information Systems: An Introduction to Techniques and Applications (Advanced Topics in Computer Science)

Knowledge Representation and Reasoning (The Morgan Kaufmann Series in Artificial Intelligence)

The Geometry of Uncertainty: The Geometry of Imprecise Probabilities (Artificial Intelligence: Foundations, Theory, and Algorithms)

Design of Logic-based Intelligent Systems

Theoretical Aspects of Reasoning About Knowledge: Proceedings of the 1986 Conference: 1st

Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)

Representations of Commonsense Knowledge

UNCERTAINTY AND INTELLIGENT INFORMATION SYSTEMS

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI

Computer Networks: A Systems Approach (The Morgan Kaufmann Series in Networking)

Bayesian Networks and Decision Graphs (Information Science and Statistics)

Intelligent Systems in Oil Field Development under Uncertainty: 183 (Studies in Computational Intelligence, 183)

Principles of Artificial Intelligence

Artificial Intelligence: Principles and Practice

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)

Academic Press - Computational Intelligence Research Handbook

Artificial Intelligence: A Textbook

Uncertainty Modelling in Data Science: 832 (Advances in Intelligent Systems and Computing, 832)

Recent Advances in Intelligent Information Systems and Applied Mathematics: 863 (Studies in Computational Intelligence, 863)

Probability Logics: Probability-Based Formalization of Uncertain Reasoning

Technologies for Constructing Intelligent Systems 1: Tasks: 89 (Studies in Fuzziness and Soft Computing, 89)

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control, 15)