Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition
暫譯: 決策分析智能系統:自動解釋與知識獲取

David A. Klein

  • 出版商: Routledge
  • 出版日期: 2019-02-04
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 1
  • 裝訂: Paperback
  • ISBN: 1138876267
  • ISBN-13: 9781138876262
  • 海外代購書籍(需單獨結帳)

商品描述

This book presents a framework for building intelligent systems based on the mathematical decision models of Decision Analysis. The author provides new techniques for automated explanation and knowledge acquisition in formally sound systems that reason about complex tradeoffs in decisions. Also included are specifications for implementing these techniques in computer programs, along with demonstration applications in marketing, process control, and medicine.

Readers with an interest in artificial intelligence will gain a foundation for building formally justifiable, intelligible, modifiable systems for computing decisions involving multiple considerations, with applications across a variety of domains. Beyond decision models, the methodology of the work reported suggests a more general approach to employing formal mathematical models in transparent intelligent systems.

Decision-analysis experts will find a collection of methods for explaining decision-analytic advice to clients in intuitive terms, for simplifying parameter assessment, and for managing changing preferences over time. The book provides sufficient background material to promote understanding by readers who may be unfamiliar with artificial intelligence, with decision analysis, or with both fields, and such material is labeled to increase the well-versed reader's efficiency in skipping particular sections.

商品描述(中文翻譯)

本書提出了一個基於決策分析的數學決策模型來構建智能系統的框架。作者提供了自動解釋和知識獲取的新技術,這些技術適用於在正式合理的系統中推理複雜的決策權衡。此外,書中還包括了在計算機程序中實現這些技術的規範,以及在市場營銷、過程控制和醫學等領域的示範應用。

對於對人工智慧感興趣的讀者,本書將為構建正式可辯護、可理解、可修改的系統奠定基礎,這些系統能夠計算涉及多重考量的決策,並在各種領域中應用。除了決策模型之外,本書所報告的方法論還暗示了一種更一般的方法,旨在將正式數學模型應用於透明的智能系統中。

決策分析專家將會發現一系列方法,用於以直觀的術語向客戶解釋決策分析建議,簡化參數評估,以及管理隨時間變化的偏好。本書提供了足夠的背景資料,以促進對於可能不熟悉人工智慧、決策分析或兩者的讀者的理解,並且這些資料已標註,以提高熟悉的讀者在跳過特定部分時的效率。