Section 03 · Section
Paradigms and Schools
المقاربات والمدارس
This part presents the major schools and intellectual approaches to building AI: symbolic, probabilistic, connectionist, evolutionary, generative, agentic and world-model approaches. It treats each school as a conception of intelligence and a method of building it, not as a historical era, an application task or a particular system.
Section03
Branches7 branches
Entries0 entries
§ 3.0
Branches
الفروع| Code | Branch | Scope | Entries |
|---|---|---|---|
| 3.1 | Symbolic AI | Presents the symbolic school as a conception of intelligence: representing knowledge through symbols and rules, logical reasoning, planning, and the modern combination of symbolic and neural methods | 0 |
| 3.2 | Probabilistic and Causal AI | Presents the probabilistic and causal approach: graphical models, Bayesian inference, representation of uncertainty, and causal and interventional reasoning | 0 |
| 3.3 | Connectionism and Neural Networks | Presents the connectionist school: artificial neural networks, distributed representations, learning from data, and basic layered architectures as a conception of intelligence | 0 |
| 3.4 | Evolutionary Methods and Reinforcement | Presents evolutionary and reinforcement approaches: genetic algorithms, reward-based learning, policies and state values, and self-play | 0 |
| 3.5 | Generative AI as a Paradigm | Presents generation as a paradigm: modelling distributions and generating text, images, audio and more, and how this changes the conception of intelligence and creativity | 0 |
| 3.6 | Agentic AI | Presents agentic AI as a school: autonomy, goal setting, planning, acting in an environment, and the loop of perception, decision and execution | 0 |
| 3.7 | World Models and Physical AI | Presents world models and physical AI: internal representations of the environment, simulation and prediction, and linking perception to action in the physical world | 0 |