Section 01 · Section
History and Historiography
التاريخ والتأريخ
This part narrates the development of AI over time, from its earliest intellectual roots to its recent stages, and considers the competing narratives that chronicle it. It presents sequence, context and major turning points, while the explanation of the concepts, schools and technologies themselves is left to the theoretical and technical parts.
Section01
Branches10 branches
Entries0 entries
§ 1.0
Branches
الفروع| Code | Branch | Scope | Entries |
|---|---|---|---|
| 1.1 | Intellectual Roots and the Pre-Computer Era | Covers the intellectual roots of AI before the computer: myths and self-moving machines, ancient logic, the conception of mind as computation, and contributions of different civilizations, including the Arab-Islamic | 0 |
| 1.2 | Turing, Dartmouth and the Beginnings | Covers the founding period: the idea of the thinking machine, the imitation test, the founding conference, the first programs and research projects, and the formation of the field | 0 |
| 1.3 | Cybernetics and Symbolic AI | Traces the history of cybernetics, control theory and feedback, and the rise of the symbolic approach, problem-solving programs and knowledge representation in that era | 0 |
| 1.4 | Expert Systems | Chronicles the rise of expert systems and their institutional spread: their origins, first projects, reasons for success and limits, and the industry that grew around them | 0 |
| 1.5 | AI Winters | Addresses the periods of waning enthusiasm and funding in the field's history: their causes and manifestations, the reassessments that followed, and historians' debate over how to characterize them | 0 |
| 1.6 | The Statistical Turn | Chronicles the field's shift from hand-written rules to learning from data: the rise of statistical methods, machine learning and probabilistic models | 0 |
| 1.7 | Deep Learning | Chronicles the return of neural networks and the rise of deep learning: multilayer networks, backpropagation, the availability of hardware and data, and the main turning points in vision and language | 0 |
| 1.8 | Foundation and Generative Models | Chronicles the emergence of the transformer architecture, large language models, and foundation and generative models, the shift of research and industry toward them, and their move into general use | 0 |
| 1.9 | Agentic AI and World Models | Chronicles the formation of agentic AI and world models: from early agents and reinforcement learning to systems that plan, use tools and carry out extended tasks | 0 |
| 1.10 | Regional Histories and Competing Narratives | Presents the histories of AI in different regions and the plurality of narratives that chronicle it: Western-centred accounts, Asian, Arab and African contributions, and debates over beginnings and priority | 0 |