The Road to General Intelligence.
Main Author: | |
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Other Authors: | , , , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing AG,
2022.
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Edition: | 1st ed. |
Series: | Studies in Computational Intelligence Series
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Subjects: | |
Online Access: | Click to View |
Table of Contents:
- Intro
- Foreword by Melanie Mitchell
- Foreword by David Spivak
- Contents
- 1 Introduction
- Part I Requirements
- 2 Background
- 2.1 What we Mean by General Intelligence
- 2.2 Science as Extended Mind
- 2.3 The Death of `Good Old-Fashioned AI'
- 3 Where is My Mind?
- 3.1 A Sanity Check
- 3.2 Real-World Machine Learning
- 4 Challenges for Deep Learning
- 4.1 Compositionality
- 4.2 Strong Typing
- 4.3 Reflection
- 4.4 Implications and Summary
- 5 Challenges for Reinforcement Learning
- 5.1 A Priori Reward Specification
- 5.2 Sampling: Safety and Efficiency
- 6 Work on Command: The Case for Generality
- 6.1 Goals and Constraints
- 6.2 Planning
- 6.3 Anytime Operation
- Part II Semantically Closed Learning
- 7 Philosophy
- 7.1 The Problem of Machine Induction
- 7.2 Semantically Closed Learning (SCL)
- 7.3 Baseline Properties of SCL
- 7.4 High-Level Inference Mechanisms of SCL
- 7.5 Intrinsic Motivation and Unsupervised Learning
- 8 Architecture
- 8.1 SCL as a Distributed/Localist Hybrid
- 8.2 Reference Architecture
- 9 A Compositional Framework
- 9.1 Categorical Cybernetics
- 9.2 Hypothesis Generation
- 9.3 Abstraction and Analogy
- 9.4 Abduction
- 10 2nd Order Automation Engineering
- 10.1 Behavioral System Engineering
- 10.2 Reactive Synthesis
- 10.3 Proactive Synthesis
- 10.4 Safety
- 11 Prospects
- 11.1 Summary
- 11.2 Research Topics
- 11.2.1 Choice of Expression Language
- 11.2.2 Compositional Primitives
- 11.2.3 Links with Behavioral Control
- 11.2.4 Pragmatics via `Causal Garbage Collection'
- 11.3 Conclusion
- Appendix Bibliography.