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Rationalism

As explained in Sutskever's List

Rationalism is the view that reasoning requires explicit symbolic structures or programs rather than being acquired solely from empirical data.

Rationalism grounds intelligence in discrete, compositional symbols and explicit rules for transforming them. In the classical physical-symbol-system view, reasoning must be specified in logic, making structure explicit but risking brittleness when messy details or grounding are underspecified. section 7.6

Its central dispute with connectionism concerns where reasoning structure comes from: rationalists prescribe symbolic programs, while empiricists learn representations from data and inductive biases. Critics emphasize compositionality; a connectionist reply treats hard rules as higher-level descriptions of softer neural constraints. section 7.6

From philosophical dispute to benchmark

The Malik–Hinton wager illustrates a pragmatic test of competing assumptions: rather than argue about neural intelligence, Malik demanded performance on PASCAL, while Hinton answered with ImageNet and AlexNet. Standardized benchmarks, datasets, and measured baselines became the practical way to assess the debate. section 7.6

How Sutskever's List covers it

How deep it goes
Defines symbolic assumptions, contrasts connectionism, and stops short of resolving the dispute philosophically.
Examples
Uses the physical symbol system, the Malik–Hinton wager, PASCAL, ImageNet, and AlexNet.
What you can do after
Evaluate competing accounts of reasoning through their assumptions, limitations, and measured benchmark performance.
How it connects
Connects rationalism to symbolic AI, connectionism, compositionality, grounding, and benchmark evaluation.

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.