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Engineering Neurosymbolic AI.

The top of the stack: methods for integrating neural models with symbolic reasoning. This is where the entire set converges into transparent, accountable AI architectures.

6/6
December 6, 2025 at 4:20 PM
Artificial Intelligence: A Modern Approach

Russell & Norvig give the conceptual foundations of search, planning, uncertainty, and agents. It situates all other books within a coherent, classical AI framework.

5/6
December 6, 2025 at 4:20 PM
Learn Prolog Now!

A straightforward entry into symbolic logic and rule-based reasoning. It supplies the symbolic substrate needed for explainable decision paths.

4/6
December 6, 2025 at 4:20 PM
Causal Inference and Discovery in Python.

Molak introduces causal graphs, interventions, and counterfactual reasoning. This is the bridge from raw prediction to explainability with structure and mechanism.

3/6
December 6, 2025 at 4:20 PM
Deep Learning with Python.

François Chollet’s book provides the modern neural-network toolbox: intuition, Keras fluency, and practical modeling patterns. It establishes the “learning” side of the stack.

2/6
December 6, 2025 at 4:20 PM
"It is perhaps because of our reliance and trust in the precision of computers that we seem so primed to believe chatbots when they gaslight us into thinking they did what we asked of them."

The Programmer Identity Crisis
On AI, Creativity, and Craft
hojberg.xyz/the-programm...
The Programmer Identity Crisis ❈ Simon Højberg ❈ Principal Frontend Engineer
On AI, Creativity, and Craft
hojberg.xyz
October 8, 2025 at 7:51 PM