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Theoretical Foundations of Artificial General Intelligence 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Theoretical Foundations of Artificial General Intelligence
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简体网页||繁体网页
Wang, Pei; Goertzel, Ben; 作者
Atlantis Press
译者
2012-9-1 出版日期
342 页数
GBP 90.00 价格
Hardcover
丛书系列
9789491216619 图书编码

Theoretical Foundations of Artificial General Intelligence 在线电子书 图书标签: 人工智能  计算机  机器学习  Cognition  AI   

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Theoretical Foundations of Artificial General Intelligence 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Theoretical Foundations of Artificial General Intelligence 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Theoretical Foundations of Artificial General Intelligence 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Theoretical Foundations of Artificial General Intelligence 在线电子书 用户评价

评分☆☆☆☆☆

有意思的是这本的第一篇是从CogSci的角度说如何解决intelligence problem ，特别是理解人类智能。对此AI，特别是AGI如何能够起作用

评分☆☆☆☆☆

有意思的是这本的第一篇是从CogSci的角度说如何解决intelligence problem ，特别是理解人类智能。对此AI，特别是AGI如何能够起作用

评分☆☆☆☆☆

有意思的是这本的第一篇是从CogSci的角度说如何解决intelligence problem ，特别是理解人类智能。对此AI，特别是AGI如何能够起作用

评分☆☆☆☆☆

有意思的是这本的第一篇是从CogSci的角度说如何解决intelligence problem ，特别是理解人类智能。对此AI，特别是AGI如何能够起作用

评分☆☆☆☆☆

有意思的是这本的第一篇是从CogSci的角度说如何解决intelligence problem ，特别是理解人类智能。对此AI，特别是AGI如何能够起作用

Theoretical Foundations of Artificial General Intelligence 在线电子书 著者简介

Theoretical Foundations of Artificial General Intelligence 在线电子书 图书目录

Theoretical Foundations of Artificial General Intelligence 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Theoretical Foundations of Artificial General Intelligence 在线电子书 图书描述

This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines.

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