Cognitive Design for Artificial Minds
暫譯: 人工智慧的認知設計

Antonio Lieto

  • 出版商: Routledge
  • 出版日期: 2021-04-01
  • 售價: $1,750
  • 貴賓價: 9.5$1,663
  • 語言: 英文
  • 頁數: 340
  • 裝訂: Paperback
  • ISBN: 1138207950
  • ISBN-13: 9781138207950
  • 相關分類: 人工智慧資訊科學軟體工程
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商品描述

Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science.

 

Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realise biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biologically and cognitive accuracy of artificial systems in order project and predict their explanatory power with respect to the natural systems taken as source of inspiration.

 

Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

商品描述(中文翻譯)

《人工心智的認知設計》解釋了人類認知研究在人工智慧系統設計與實現中的關鍵角色,並說明了設計人工認知模型所需的步驟。它彌合了在認知啟發的人工智慧及計算認知科學背景下所涉及的理論、實驗和技術問題之間的差距。

本書首先概述了認知啟發人工智慧領域的歷史、方法論和技術問題,Lieto 說明了認知設計方法在智能人工智慧技術和合理計算認知模型的發展中所扮演的重要角色。Lieto 引入了一種獨特的視角,該視角基於控制論和早期人工智慧原則,強調了認知過程與實施的人工智慧程序之間需要存在等價性,以實現生物學和認知啟發的人工心智。他還介紹了最小認知網格(Minimal Cognitive Grid),這是一種務實的方法,用於對人工系統的生物學和認知準確性進行不同程度的排名,以預測其相對於自然系統的解釋能力。

本書提供了構建人工心智的認知設計原則的全面概述,對於人工智慧和認知科學的學生及研究者來說,將是必讀的資料。