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  250924s2022 enka b 001 0 eng d

• 015

  ▼a  GBC155061
  ▼2  bnb

• 020

  ▼a  9781292401133
  ▼q  (paperback)

• 020

  ▼a  1292401133
  ▼q  (paperback)

• 035

  ▼a  (KERIS)BIB000016624642

• 040

  ▼a  243002
  ▼c  243002
  ▼d  243002

• 082

  ▼a  006.3
  ▼2  23

• 090

  ▼a  006.3
  ▼b  S932a4

• 245

  ▼a  Artificial intelligence :
  ▼b  a modern approach /
  ▼c  Stuart J. Russell and Peter Norvig ; contributing writers: Ming-Wei Chang, Jacob Devlin, Anca Dragan, David Forsyth, Ian Goodfellow, Jitendra M. Malik, Vikash Mansinghka, Judea Pearl, Michael Wooldridge.

• 250

  ▼a  4th ed., Global ed.

• 260

  ▼a  Harlow, UK :
  ▼b  Pearson Education Limited,
  ▼c  c2022.

• 300

  ▼a  1166 p. :
  ▼b  ill. (chiefly col.) ;
  ▼c  26 cm.

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 336

  ▼a  still image
  ▼b  sti
  ▼2  rdacontent

• 337

  ▼a  unmediated
  ▼b  n
  ▼2  rdamedia

• 338

  ▼a  volume
  ▼b  nc
  ▼2  rdacarrier

• 490

  ▼a  Pearson series in artificial intelligence

• 500

  ▼a  "Authorized adaption from the United States edition, entitled 'Artificial intelligence: a modern approach,' 4th edition, ISBN 978-0-13-461099-3 by Stuart J. Russell and Peter Norvig, published by Pearson Education ©2021"--T. p. verso.

• 500

  ▼a  "Pearson published this exclusive edition for the benefit of students outside the United States and Canada"--Back cover.

• 504

  ▼a  Includes bibliographical references (pages 1084-1118) and index.

• 505

  ▼a  Artificial intelligence. Introduction ; Intelligent agents -- Problem-solving. Solving problems by searching ; Search in complex environments ; Constraint satisfaction problems ; Adversarial search and games -- Knowledge, reasoning, and planning. Logical agents ; First-order logic ; Inference in first-order logic ; Knowledge representation ; Automated planning -- Uncertain knowledge and reasoning. Quantifying uncertainty ; Probabilistic reasoning ; Probabilistic reasoning over time ; Making simple decisions ; Making complex decisions ; Multiagent decision making ; Probabilistic programming -- Machine learning. Learning from examples ; Knowledge in learning ; Learning probabilistic models ; Deep learning ; Reinforcement learning -- Communicating, perceiving, and acting. Natural language processing ; Deep learning for natural language processing ; Robotics ; Computer vision -- Conclusion. Philosophy, ethics, and safety of AI ; The future of AI -- Appendix A. Mathematical background -- Appendix B. Notes on languages and algorithms.

• 650

  ▼a  Artificial intelligence.

• 650

  ▼a  Artificial intelligence
  ▼x  Study and teaching.

• 650

  ▼a  Artificial intelligence
  ▼v  Handbooks, manuals, etc.

• 650

  ▼a  Artificial intelligence
  ▼v  Textbooks.

• 700

  ▼a  Russell, Stuart J.
  ▼q  (Stuart Jonathan)

• 700

  ▼a  Norvig, Peter,
  ▼d  1956-

• 700

  ▼a  Chang, Ming-Wei

• 700

  ▼a  Devlin, Jacob,
  ▼c  (Engineer)

• 700

  ▼a  Dragan, Anca

• 700

  ▼a  Forsyth, David

• 700

  ▼a  Goodfellow, Ian

• 700

  ▼a  Malik, Jitendra

• 700

  ▼a  Mansinghka, Vikash

• 700

  ▼a  Pearl, Judea

• 700

  ▼a  Wooldridge, Michael J.,
  ▼d  1966-

• 830

  ▼a  Pearson series in artificial intelligence.

• 990

  ▼b  A084120