Practical AI Programming with Prolog

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Practical AI Programming with Prolog29 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Setting Up Your Prolog Development Environment

  4. Prolog Tutorial

  5. Search Algorithms in Prolog

  6. Natural Language Processing with Definite Clause Grammars

  7. Reasoning and Inference

  8. Expert Systems and Rule-Based AI

  9. Explainable AI and Computational Law with s(CASP)

  10. Constraint Logic Programming

  11. Probabilistic Logic Programming

  12. Probability

  13. Anomaly Detection

  14. Knowledge Graphs and Knowledge Representation

  15. Semantic Web Tools

  16. Web Clients in Prolog

  17. Client-Side Prolog with WebAssembly

  18. LLM Integration

  19. Cache Engine

  20. LLM Logic Guardrails

  21. Daily Use REPL: Gemini with Search and Cache

  22. The Janus Python Bridge

  23. Building AI Agents with Prolog

  24. Agent Behavior Trees

  25. Meta-Interpreters: Prolog Reasoning About Prolog

  26. Planning and Scheduling

  27. Inductive Logic Programming with Popper

  28. Examples Using Scryer Prolog (The Modern Wave)

  29. Book Wrap Up