Artificial intelligence: a modern approach

Искусственный интеллект: современный подход
Stuart Russell, Peter Norvig, Dr. Haewon Byeon, Prof. Ganesh Vasudeo Manerkar, Dr. Anil Kumar, Sivasubramanian Balasubramanian
1995-11-01
SCID:  54.1/mfv7qq43 Discuss with AI
artificial intelligenceintelligent agentsprobabilistic reasoningreinforcement learningsearch methods
Abstract (AI)
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 Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
Key Findings
1
Addresses practical planning and planning-acting integration alongside uncertainty and probabilistic reasoning systems.
2
Covers broad AI topics including intelligent agents, search methods, game playing, and logical reasoning systems.
3
Discusses decision making from simple to complex decisions and multiple learning paradigms including observation-based learning, neural networks, and reinforcement learning.
4
Examines knowledge representation for learning, agent communication and practical natural-language communication, perception, and robotics.
5
Includes treatment of first-order logic, building knowledge bases, and inference mechanisms for logical reasoning.
6
Targets computer professionals, linguists, and cognitive scientists as the intended audience.
7
The book provides a comprehensive, state-of-the-art introduction to both theory and practice of artificial intelligence for modern applications.
Research Object

Artificial intelligence as a field and its core systems (intelligent agents, reasoning, learning, perception, planning, and communication)

Research Subject

Comprehensive introduction and state-of-the-art presentation of theories, architectures, algorithms, and practical methods for building and applying AI systems across reasoning, learning, planning, perception, and agent communication

Publication Details
Publication Date
1995-11-01
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Stuart Russell
Peter Norvig
Dr. Haewon Byeon
Prof. Ganesh Vasudeo Manerkar
Dr. Anil Kumar
Sivasubramanian Balasubramanian
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat →
Make a presentation
100%