Artificial Intelligence: Foundations of Computational Agents, 2/e (Hardcover)
David L. Poole, Alan K. Mackworth
- 出版商: Cambridge
- 出版日期: 2017-09-25
- 定價: $1,420
- 售價: 9.8 折 $1,392
- 語言: 英文
- 頁數: 820
- 裝訂: Hardcover
- ISBN: 110719539X
- ISBN-13: 9781107195394
-
相關分類:
人工智慧
-
相關翻譯:
人工智能:計算 Agent 基礎, 2/e (Artificial Intelligence: Foundations of Computational Agents, 2/e) (簡中版)
-
其他版本:
Artificial Intelligence: Foundations of Computational Agents, 3/e (Hardcover)
買這商品的人也買了...
-
$550$495 -
$525Error Patterns in Computation, 9/e (Paperback)
-
$450$383 -
$4,490$4,266 -
$940$700 -
$650$585 -
$490$387 -
$490$245 -
$600$540 -
$580$493 -
$540$459 -
$1,560$1,482 -
$1,808Physically Based Shader Development for Unity 2017: Develop Custom Lighting Systems
-
$551游戲概念設計理念與案例解析
-
$1,640$1,558 -
$380$300 -
$690$538 -
$480$432 -
$1,450$1,421 -
$560$476 -
$540$405 -
$1,460$1,387 -
$500$450 -
$580$435 -
$620$484
相關主題
商品描述
Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without losing sight of the bigger picture. The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications. Although structured as an undergraduate and graduate textbook, the book's straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.
商品描述(中文翻譯)
人工智慧,包括機器學習,已成為一門具有轉型性的科學和工程學科。《人工智慧:計算代理人基礎》以一個有條理的框架來介紹人工智慧,以研究智能計算代理人的設計。通過展示基本方法如何適應多維度的設計空間,讀者可以學習基礎知識,同時不會忽視整體的大局。新版還增加了機器學習材料的內容,以及人工智慧和機器學習的社會和倫理影響。本書平衡了理論和實驗,展示如何將它們聯繫在一起,並發展人工智慧的科學以及其工程應用。雖然結構上是一本本科和研究生教材,但本書簡潔、自成一體的風格也適合專業人士、研究人員和自學者。第二版具有強大的教學特點和線上資源,以提升學生的理解能力。