Artificial Intelligence: A Modern Approach

@inproceedings{Russell1995ArtificialIA,
  title={Artificial Intelligence: A Modern Approach},
  author={Stuart J. Russell and Peter Norvig},
  year={1995}
}
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning… 
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Epistemic Logic and Planning
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This project combines the inferencing power of epistemic logic in the adaptation phase of CBR with the performance of case-based planning, which is proved to be more efficient then using planning algorithms alone.
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Epistemic Logic Planning
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This project combines the inferencing power of epistemic logic in the adaptation of CBR with the performance of case-based planning, which is proved to be more efficient then using planning algorithms alone.
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Humans encounter a huge variety of problems which they must solve using general methods. Even simple problems, however, become computationally hard for general solvers if the structure of the…
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References

SHOWING 1-10 OF 19 REFERENCES
Principles of Artificial Intelligence
  • N. Nilsson
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1981
TLDR
This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.
Prolog Programming for Artificial Intelligence
TLDR
The new edition of Prolog Guide to AI programming has been fully revised and extended to provide an even greater range of applications, enhancing its value as a stand-alone guide to Prolog, artificial intelligence, or AI programming.
Introduction to artificial intelligence
This book is an introduction on artificial intelligence. Topics include reasoning under uncertainty, robot plans, language understanding, and learning. The history of the field as well as…
Logical foundations of artificial intelligence
Typographical Conventions 1 Introduction 1.1 Bibliographical and Historical Remarks Exercises 2 Declarative Knowledge 2.1 Conceptualization 2.2 Predicate Calculus 2.3 Semantics 2.4 Blocks World…
Language is ambiguous and leaves much unsaid
  • This means that understanding language requires an understanding of the subject matter and context, not just an understanding of the structure of sentences. This may seem obvious, but it was not appreciated until the early 1960s. Much of the early work in knowledge representation ( the study of how
  • 1957
Artificial Intelligence gives a complete history of the field, and Raymond
  • 1993
Artificial intelligence (2. ed.)
1969; 1978b) helped to synthesize these viewpoints into a coherent "intentional
  • 1978
claiming, "There is no such thing as syntax," which upset a lot of linguists, but did serve to start a useful discussion. Schank and his students built a series of programs
  • At Yale,
  • 1977
The algorithm was applied to many learning problems in computer science and psychology, and the widespread dissemination of the results in the collection Parallel Distributed Processing
  • 1969
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