[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzg0MzE","title","Practical AI Programming with Prolog","state","published","contactAuthorMethod","email","aboutText"," Practical Neuro-Symbolic AI: Combining Logic and Learning

In an era dominated by black-box statistical models and unpredictable Large Language Models, this book reveals the missing half of the modern AI equation: Prolog and Symbolic Reasoning. Learn how to build explainable, secure, and mathematically sound AI systems by bridging neural processing with logic-based constraint engines. By harnessing the bidirectional Janus bridge, you will discover how to seamlessly combine Python’s elite machine learning libraries (like scikit-learn and spaCy) and generative LLM APIs with Prolog’s unparalleled pattern matching, dynamic fact bases, and logical reasoning—unlocking a powerful new class of hybrid, neuro-symbolic AI applications.

Skip the dry academic theory and dive straight into production-ready, hands-on projects. This book walks you through building strict LLM logic guardrails that mathematically prevent hallucinations, constructing local knowledge graphs enriched dynamically by remote SPARQL queries to Wikidata, solving complex constraint optimization problems with CLP(FD), and writing meta-interpreters that explain why conclusions were reached. Whether you are a software engineer, data scientist, or AI practitioner, this book is your practical blueprint for using Prolog as a high-performance orchestration and reasoning engine for the next generation of intelligent software.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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