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…
26,613 Citations
Ten Project Proposals in Artificial Intelligence
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Ten proposals for projects in the latter branch of artificial intelligence, which includes game playing, expert systems, natural language, and robotics, are presented.
Artificial intelligence
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A general overview of this broad interdisciplinary field is presented, organized around the main modules of the notional architecture of an intelligent agent (knowledge representation; problem solving and planning; knowledge acquisition and learning; natural language, speech, and vision; action processing and robotics) which highlights both the main areas of artificial intelligence research, development and application.
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This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) setting, and a methodological translation is constructed from the propositional to the relational setting.
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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