68,29 €
Artificial Intelligence
Artificial Intelligence
  • Išparduota
Artificial Intelligence
Artificial Intelligence
El. knyga:
68,29 €
Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in 'sister' disciplines, such as computer science and linguistics…
  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 286
  • ISBN: 9781000734379
  • ISBN-10: 1000734374
  • ISBN-13: 9781000734379
  • Formatas: ACSM ?
  • Kalba: Anglų

Artificial Intelligence (el. knyga) (skaityta knyga) | knygos.lt

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Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in 'sister' disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.

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  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 286
  • ISBN: 9781000734379
  • ISBN-10: 1000734374
  • ISBN-13: 9781000734379
  • Formatas: ACSM ?
  • Kalba: Anglų

Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in 'sister' disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.

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