| 书目名称 | The Road to General Intelligence |
| 编辑 | Jerry Swan,Eric Nivel,Bas Steunebrink |
| 视频video | |
| 概述 | Details the pragmatic requirements for real-world General Intelligence.Provides a philosophical basis for the proposed approach.Provides mathematical detail for a reference architecture.This book is o |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry worth billions and transform the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten. We claim that a fundamental change in perspective is required, mirroring that which took place in the philosophy of science in the mid 20th century. We propose a framework for General Intelligence, together with a reference architecture that emphasizes the need for anytime bounded rationality and a situated denotational semantics. We given necessary emphasis to comp |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2022 |
| 关键词 | Computational Intelligence; Artificial Intelligence; Machine Learning; General Intelligence; AI; Open Acc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-08020-3 |
| isbn_ebook | 978-3-031-08020-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s) 2022 |
发表于 2025-3-21 16:45:22
