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商品描述
The publication of Diagrammatic Reasoning in AI marks an important milestone for anyone seeking to design graphical user interfaces to support decision-making and problem-solving tasks. The author expertly demonstrates how diagrammatic representations can simplify our interaction with increasingly complex information technologies and computer-based information systems. In particular, the book emphasizes how diagrammatic user interfaces can help us better understand and visualize artificial intelligence (AI) systems. It examines how diagrammatic reasoning enhances various AI programming strategies used to emulate human thinking and problem-solving, including:
- Expert systems
- Model-based reasoning
- Inexact reasoning such as certainty factors and Bayesian networks
- Logic reasoning
A key part of the book is its extensive development of applications and graphical illustrations, drawing on such fields as the physical sciences, macroeconomics, finance, business logistics management, and medicine. Despite such tremendous diversity of usage, in terms of applications and diagramming notations, the book classifies and organizes diagrams around six major themes: system topology; sequence and flow; hierarchy and classification; association; cause and effect; and logic reasoning. Readers will benefit from the author's discussion of how diagrams can be more than just a static picture or representation and how diagrams can be a central part of an intelligent user interface, meant to be manipulated and modified, and in some cases, utilized to infer solutions to difficult problems.
This book is ideal for many different types of readers: practitioners and researchers in AI and human-computer interaction; business and computing professionals; graphic designers and designers of graphical user interfaces; and just about anyone interested in understanding the power of diagrams. By discovering the many different types of diagrams and their applications in AI, all readers will gain a deeper appreciation of diagrammatic reasoning.
商品描述(中文翻譯)
開創性工作顯示使用圖表如何促進更好的人工智慧系統設計
《人工智慧中的圖示推理》的出版對於任何希望設計圖形使用者介面以支持決策和問題解決任務的人來說,都是一個重要的里程碑。作者專業地展示了圖示表示如何簡化我們與日益複雜的信息技術和基於計算機的信息系統的互動。特別是,本書強調圖示使用者介面如何幫助我們更好地理解和視覺化人工智慧(AI)系統。它探討了圖示推理如何增強各種用於模擬人類思考和問題解決的AI編程策略,包括:
- 專家系統
- 基於模型的推理
- 不精確推理,如確定性因子和貝葉斯網絡
- 邏輯推理
本書的一個關鍵部分是其對應用程序和圖形插圖的廣泛發展,涵蓋物理科學、宏觀經濟學、金融、商業物流管理和醫學等領域。儘管在應用和圖示符號方面存在如此巨大的多樣性,本書仍圍繞六個主要主題對圖表進行分類和組織:系統拓撲;序列和流程;層級和分類;關聯;因果關係;以及邏輯推理。讀者將受益於作者對圖表如何不僅僅是靜態圖片或表示的討論,以及圖表如何成為智能使用者介面的核心部分,旨在被操作和修改,在某些情況下,用於推導困難問題的解決方案。
這本書非常適合多種不同類型的讀者:人工智慧和人機互動的從業者和研究人員;商業和計算專業人士;圖形設計師和圖形使用者介面的設計師;以及任何對理解圖表的力量感興趣的人。通過發現各種不同類型的圖表及其在AI中的應用,所有讀者將對圖示推理有更深刻的理解。