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Artificial Intelligence a Modern Approach

In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new material has been provided in areas such as partially observable search, contingency planning, hierarchical planning, relational and first-order probability models, regularization and loss functions in machine learning, kernel methods, Web search engines, information extraction, and learning in vision and robotics. The book also includes hundreds of new exercises.

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  • "Cram101 textbook outlines, outlines & hightlights for Artificial intelligence"
  • "Artificial intelligence"@it

http://schema.org/description

  • "In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new material has been provided in areas such as partially observable search, contingency planning, hierarchical planning, relational and first-order probability models, regularization and loss functions in machine learning, kernel methods, Web search engines, information extraction, and learning in vision and robotics. The book also includes hundreds of new exercises."
  • "In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new material has been provided in areas such as partially observable search, contingency planning, hierarchical planning, relational and first-order probability models, regularization and loss functions in machine learning, kernel methods, Web search engines, information extraction, and learning in vision and robotics. The book also includes hundreds of new exercises."@en
  • "The first edition of Artificial Intelligence: A Modern Approach has become a classic in the AI literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field. In the second edition, every chapter has been extensively rewritten. Significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, internet agents, exact probabilistic inference, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and ethical aspects of AI. The book is supported by a suite of online resources including source code, figures, lecture slides, a directory of over 800 links to "AI on the Web," and an online discussion group. All of this is available at: aima.cs.berkeley.edu."
  • "Intelligent Agents - Stuart Russell and Peter Norvig show how intelligent agents can be built using AI methods, and explain how different agent designs are appropriate depending on the nature of the task and environment. Artificial Intelligence: A Modern Approach is the first AI text to present a unified, coherent picture of the field. The authors focus on the topics and techniques that are most promising for building and analyzing current and future intelligent systems. The material is comprehensive and authoritative, yet cohesive and readable. State of the Art - This book covers the most effective modern techniques for solving real problems, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural networks, adaptive probabilistic networks, inductive logic programming, computational learning theory, and reinforcement learning. Leading edge AI techniques are integrated into intelligent agent designs, using examples and exercises to lead students from simple, reactive agents to advanced planning agents with natural language capabilities."
  • "Este manual es una obra muy amplia que cubre todos los aspectos de esta ciencia tan moderna. Se analiza el problema de la inteligencia artificial, que radica en describir y construir agentes que reciban percepciones provenientes del medio ambiente y que ejectuen acciones."@es
  • "From the Publisher: The long-anticipated revision of this number 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."
  • "Artificial intelligence; Intelligent agents; Problem-solving; Solving problems by searching; Informed search methods; Game playing; Knwoledge and reasoning; Agents that reason logically; First-order logic; Building a knwoledge base; Inference in first-order logic; Logical reasoning systems; Acting logically; Planning; Practical planning; Planning and acting; Uncertain knowledge and reasoning; Uncertainty; Probabilistic reasoning systems; Making simple decisions; Making complex decisions; Learning; Learning from observations; Learning in neural and belief networks; Reinforcement learning; Knowledge in learning; Communicating, perceiving, and acting; Agents that communicate; Practical natural language processing; Perception; Robotics; Philosophical foundations; AI: present and future; Appendices; Index."
  • "Presents a guide to artificial intelligence, covering such topics as intelligent agents, problem-solving, logical agents, planning, uncertainty, learning, and robotics."

http://schema.org/genre

  • "Matériel didactique"
  • "Aufgabensammlung"
  • "Outlines and syllabi"
  • "Electronic books"
  • "Electronic books"@en
  • "Leermiddelen (vorm)"
  • "Lehrbuch"
  • "Einführung"

http://schema.org/name

  • "Intelligence artificielle : avec près de 500 exercices"
  • "Intelligenza artificiale : un approccio moderno"@it
  • "Intelligenza artificiale : un approccio moderno"
  • "Artificial intelligence : a modern approach ; [the intelligent agent book]"
  • "Artificial Intelligence a Modern Approach"@en
  • "Artificial intelligence : a modern approach"@en
  • "Artificial intelligence : a modern approach"
  • "Artificial Intelligence : a modern approach"@en
  • "Artificial Intelligence : A Modern Approach"
  • "Artificial Intelligence : A modern approach"
  • "Künstliche Intelligenz ein moderner Ansatz"
  • "Intelligence artificielle"
  • "Artificial intelligence a modern approach"
  • "Artificial intelligence a modern approach"@en
  • "Künstliche Intelligenz : ein moderner Ansatz"
  • "Künstliche Intelligenz Ein moderner Ansatz"
  • "Artificial intelligence"@en
  • "Artificial intelligence"
  • "Intelligence artificielle : [avec près de 400 exercices]"
  • "Inteligencia artificial : un enfoque moderno"@es
  • "Inteligencia artificial : un enfoque moderno"
  • "Artificial intelligence A modern approach"

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