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Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science.
Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science.
The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.
Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science.
The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.
Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science.
Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science.
The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.
Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether natural or artificial. Cognitive architectures must be integrative in accommodating the full range of capabilities required of a mind. They must also be general, in applying across many, if not all, problems and domains. This breadth of investigation, across a sequence of three such architectures—XAPS, Soar, and Sigma—and over many years, has inspired a set of reflections on both cognitive architectures and three core disciplines within which such work occurs—artificial intelligence (AI), artificial general intelligence (AGI), and cognitive science.
The book’s reflections are of three types. The first explores four concepts critical to understanding minds—architectures, symbols, intelligence, and theories—to provide new perspectives and insights on them. The second rethinks the structure of the space of technologies that underlies work on minds, yielding multidimensional maps that clarify their similarities and differences plus detailed insights into the tradeoffs that exist across both individual technologies and integrated systems—whether symbolic, neural, or hybrid—built from them. The third traces the author’s decades of work on architectures—including cognitive architectures, the Common Model of Cognition, and the nature and structure of computing as a great scientific domain—interwoven with personal reflections and anecdotes.
Über den Autor
Paul S. Rosenbloom
Inhaltsverzeichnis
Preface
Acknowledgements
1. Introduction
I: Definitions: Essential Analysis
2. On Architectures
3. On Symbols
4. On Intelligence
5. On Theories
II: Dissections & Mappings: Dichotomic Analysis
6. Introduction to Part II
7. Criteria
8. (A)Symmetric
9. (Un)Controlled
10. (Meta)Data
11. Interactions
12. Conclusion to Part II
III: Integrations: My Life as an Architectural Explorer
13. Introduction to Part III
14. Methodology: Seeking Insight via Architectural Exploration
15. Grand Challenge: Cognitive Architecture [Tier 1]
16. Common Model of Cognition: Searching for Consensus [Tier 2]
17. Dichotomic Maps: Scope, Similarities, Differences & Combinations [Tier 3]
18. Relational Model: Computing as a Great Scientific Domain [Tier 4]
19. Conclusion to Part III
20. Final Thoughts
Appendix A: Technologies (Part II)
Appendix B: Maxims (Part III)
Acknowledgements
1. Introduction
I: Definitions: Essential Analysis
2. On Architectures
3. On Symbols
4. On Intelligence
5. On Theories
II: Dissections & Mappings: Dichotomic Analysis
6. Introduction to Part II
7. Criteria
8. (A)Symmetric
9. (Un)Controlled
10. (Meta)Data
11. Interactions
12. Conclusion to Part II
III: Integrations: My Life as an Architectural Explorer
13. Introduction to Part III
14. Methodology: Seeking Insight via Architectural Exploration
15. Grand Challenge: Cognitive Architecture [Tier 1]
16. Common Model of Cognition: Searching for Consensus [Tier 2]
17. Dichotomic Maps: Scope, Similarities, Differences & Combinations [Tier 3]
18. Relational Model: Computing as a Great Scientific Domain [Tier 4]
19. Conclusion to Part III
20. Final Thoughts
Appendix A: Technologies (Part II)
Appendix B: Maxims (Part III)
Details
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Importe, Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9780262053259 |
| ISBN-10: | 026205325X |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Rosenbloom, Paul S. |
| Hersteller: | The MIT Press |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 226 x 154 x 37 mm |
| Von/Mit: | Paul S. Rosenbloom |
| Erscheinungsdatum: | 25.08.2026 |
| Gewicht: | 0,668 kg |