Artificial Cognitive Systems: A Primer

Vernon, David

  • 出版商: MIT
  • 出版日期: 2024-08-20
  • 售價: $1,870
  • 貴賓價: 9.5$1,777
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0262552876
  • ISBN-13: 9780262552875
  • 海外代購書籍(需單獨結帳)

商品描述

A concise introduction to a complex field, bringing together recent work in cognitive science and cognitive robotics to offer a solid grounding on key issues.

This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues.

The book first develops a working definition of cognitive systems--broad enough to encompass multiple views of the subject and deep enough to help in the formulation of theories and models. It surveys the cognitivist, emergent, and hybrid paradigms of cognitive science and discusses cognitive architectures derived from them. It then turns to the key issues, with chapters devoted to autonomy, embodiment, learning and development, memory and prospection, knowledge and representation, and social cognition. Ideas are introduced in an intuitive, natural order, with an emphasis on the relationships among ideas and building to an overview of the field. The main text is straightforward and succinct; sidenotes drill deeper on specific topics and provide contextual links to further reading.

商品描述(中文翻譯)

本書對一個複雜領域進行了簡明的介紹,結合了認知科學和認知機器人學的最新研究,為關鍵議題提供了堅實的基礎。

本書提供了對新興的人工認知系統領域的簡明且易於理解的介紹。認知,無論是自然的還是人工的,都是關於預測行動需求並發展預測這些行動結果的能力。人工認知系統領域借鑒了人工智慧、發展心理學和認知神經科學,其最終目標是創造能夠與人類互動並以多種方式服務社會的基於計算機的系統。本書匯集了認知科學和認知機器人學的最新研究,為讀者提供了關鍵議題的堅實基礎。

本書首先發展出一個認知系統的工作定義——這一定義足夠廣泛,以涵蓋該主題的多種觀點,同時又足夠深入,以幫助理論和模型的形成。它調查了認知科學的認知主義、新興和混合範式,並討論了從中衍生的認知架構。接著轉向關鍵議題,專章探討自主性、具身性、學習與發展、記憶與前瞻、知識與表徵,以及社會認知。概念以直觀、自然的順序引入,強調概念之間的關係,並逐步構建出該領域的概覽。主要文本簡潔明瞭;附註則深入探討特定主題,並提供進一步閱讀的背景連結。

作者簡介

David Vernon is Professor at Carnegie Mellon University Africa, Rwanda, and a Senior Member of the Institute of Electrical and Electronics Engineers.

作者簡介(中文翻譯)

大衛·維農是位於盧旺達的卡內基梅隆大學非洲校區的教授,也是電氣和電子工程師學會的資深會員。