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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Ten Project Proposals in Artificial Intelligence
- Computer Science
- 2007
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
- Computer Science
- 2012
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.
Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application☆
- Computer Science
- 2015
Structured Approach to the Intelligent System Design
- Computer Science
- 2002
The goal of this paper is to find active, productive may be not the best way to determine the starting position and some directions of intelligent system design.
Epistemic Logic and Planning
- Computer ScienceKES
- 2004
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.
The logic of adaptive behavior : knowledge representation and algorithms for the Markov decision process framework in first-order domains
- Computer Science
- 2008
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
- Computer Science
- 2008
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.
Selecting Actions and Making Decisions : Lessons from AI Planning
- Computer Science
- 2005
This paper presents the ideas underlying the development of well-founded and empirically tested techniques for recognizing and exploiting structure, and argues for their relevance to models of natural intelligent behavior as well.
References
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Principles of Artificial Intelligence
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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.
Introduction to artificial intelligence
- Computer ScienceAddison-Wesley series in computer science
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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…
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
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Artificial Intelligence gives a complete history of the field, and Raymond
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1969; 1978b) helped to synthesize these viewpoints into a coherent "intentional
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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
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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
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