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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)
「先驅性的研究展示了如何使用圖表來促進更好的人工智慧系統設計」
《人工智慧中的圖表推理》的出版對於任何希望設計支援決策和解決問題任務的圖形使用者介面的人來說，標誌著一個重要的里程碑。作者巧妙地展示了圖表表示法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，該書強調了圖表使用者介面如何幫助我們更好地理解和視覺化人工智慧系統。它探討了圖表推理如何增強各種用於模擬人類思維和解決問題的人工智慧編程策略，包括：
- 專家系統
- 基於模型的推理
- 不確定推理，如確定性因素和貝葉斯網絡
- 邏輯推理
該書的一個關鍵部分是其對應用和圖形插圖的廣泛開發，涉及物理科學、宏觀經濟學、金融、商業物流管理和醫學等領域。儘管在應用和圖表符號方面具有如此巨大的多樣性，該書將圖表分類和組織為六個主要主題：系統拓撲；序列和流程；層次和分類；關聯；因果關係；邏輯推理。讀者將受益於作者對圖表如何超越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，並在某些情況下，用於推斷解決困難問題的解決方案。
這本書非常適合各種不同類型的讀者：人工智慧和人機交互領域的從業人員和研究人員；商業和計算專業人士；平面設計師和圖形使用者介面設計師；以及對於理解圖表的力量感興趣的任何人。通過發現不同類型的圖表及其在人工智慧中的應用，所有讀者都將對圖表推理有更深入的認識。
