The Road to General Intelligence.
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Superior document: | Studies in Computational Intelligence Series ; v.1049 |
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Place / Publishing House: | Cham : : Springer International Publishing AG,, 2022. ©2022. |
Year of Publication: | 2022 |
Edition: | 1st ed. |
Language: | English |
Series: | Studies in Computational Intelligence Series
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Online Access: | |
Physical Description: | 1 online resource (142 pages) |
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Swan, Jerry. The Road to General Intelligence. 1st ed. Cham : Springer International Publishing AG, 2022. ©2022. 1 online resource (142 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Studies in Computational Intelligence Series ; v.1049 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. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Nivel, Eric. Kant, Neel. Hedges, Jules. Atkinson, Timothy. Steunebrink, Bas. Print version: Swan, Jerry The Road to General Intelligence Cham : Springer International Publishing AG,c2022 9783031080197 ProQuest (Firm) Studies in Computational Intelligence Series https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7021221 Click to View |
language |
English |
format |
eBook |
author |
Swan, Jerry. |
spellingShingle |
Swan, Jerry. The Road to General Intelligence. Studies in Computational Intelligence Series ; 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. |
author_facet |
Swan, Jerry. Nivel, Eric. Kant, Neel. Hedges, Jules. Atkinson, Timothy. Steunebrink, Bas. |
author_variant |
j s js |
author2 |
Nivel, Eric. Kant, Neel. Hedges, Jules. Atkinson, Timothy. Steunebrink, Bas. |
author2_variant |
e n en n k nk j h jh t a ta b s bs |
author2_role |
TeilnehmendeR TeilnehmendeR TeilnehmendeR TeilnehmendeR TeilnehmendeR |
author_sort |
Swan, Jerry. |
title |
The Road to General Intelligence. |
title_full |
The Road to General Intelligence. |
title_fullStr |
The Road to General Intelligence. |
title_full_unstemmed |
The Road to General Intelligence. |
title_auth |
The Road to General Intelligence. |
title_new |
The Road to General Intelligence. |
title_sort |
the road to general intelligence. |
series |
Studies in Computational Intelligence Series ; |
series2 |
Studies in Computational Intelligence Series ; |
publisher |
Springer International Publishing AG, |
publishDate |
2022 |
physical |
1 online resource (142 pages) |
edition |
1st ed. |
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. |
isbn |
9783031080203 9783031080197 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q342 |
callnumber-sort |
Q 3342 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7021221 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3 |
dewey-sort |
16.3 |
dewey-raw |
006.3 |
dewey-search |
006.3 |
oclc_num |
1333445371 |
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status_str |
n |
ids_txt_mv |
(MiAaPQ)5007021221 (Au-PeEL)EBL7021221 (OCoLC)1333445371 |
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cr |
hierarchy_parent_title |
Studies in Computational Intelligence Series ; v.1049 |
is_hierarchy_title |
The Road to General Intelligence. |
container_title |
Studies in Computational Intelligence Series ; v.1049 |
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