Artificial intelligence: a modern approach
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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.
Citation edge evidence
- Deep learning in neural networks: An overview→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- GSA: A Gravitational Search Algorithm→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Yago→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- A Survey of Monte Carlo Tree Search Methods→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Dynamic bayesian networks: representation, inference and learning→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Is It an agent, or just a program?: A taxonomy for autonomous agents→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- A Roadmap of Agent Research and Development→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Probabilistic machine learning and artificial intelligence→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Causability and explainability of artificial intelligence in medicine→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Word sense disambiguation→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- Introduction to Semi-Supervised Learning→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- On agent-based software engineering→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- How Can the Human Mind Occur in the Physical Universe?→Artificial intelligence: a modern approachLegacy edge — source detail unavailable
- How Can the Human Mind Occur in the Physical Universe?→A Roadmap of Agent Research and DevelopmentLegacy edge — source detail unavailable
- A Roadmap of Agent Research and Development→Is It an agent, or just a program?: A taxonomy for autonomous agentsLegacy edge — source detail unavailable
- A Roadmap of Agent Research and Development→A Survey of Monte Carlo Tree Search MethodsLegacy edge — source detail unavailable
- Causability and explainability of artificial intelligence in medicine→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
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Topics
| Cognitive Computing and Networks | Computer Science |
| Advanced Research in Systems and Signal Processing | Engineering |
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