📚 Enhance your understanding of expert systems with notes, summaries, and resources from DSAI 3302, focusing on rule-based systems and AI in Python.
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Updated
Feb 6, 2026 - Jupyter Notebook
📚 Enhance your understanding of expert systems with notes, summaries, and resources from DSAI 3302, focusing on rule-based systems and AI in Python.
K3D: a GPU‑native spatial knowledge architecture where humans and AI cohabit 3D “houses” of memory—unifying CAD‑like geometry, vector graphs, and neurosymbolic reasoning. Open specs + Apache‑2.0 reference code.
🧠 Enable collaborative decision-making with a modular multi-agent framework that promotes transparency and utilizes tool-augmented reasoning.
🔍 Enable seamless semantic search for AI agents without the hassle of setting up a vector database server using PGlite and pgvector.
🧠 Enhance AI agents with HMLR's structured memory system for accurate reasoning and conflict resolution across multiple topics and timeframes.
🌐 Explore WPE and TME, text-native languages designed for structural and temporal reasoning, enhancing clarity in semantic calculus.
📊 Analyze and assess information structures with the Information Particle System, using 12-dimensional particles for clear and interpretable data representation.
🧩 Simplify your Prolog queries with qh2, a lightweight tool for enhancing query handling and improving logic programming efficiency.
🚀 Develop efficient Prolog solutions with prolog-0vw, a lightweight framework that simplifies logic programming for rapid application development.
🗣️ Structure and relate speech processing tasks with a pioneering ontology that enhances collaboration and knowledge exchange in speech science.
🤖 Transform education with EduAgent, an AI-powered platform for intelligent homework grading, knowledge graph building, and smart Q&A services.
🧠 Explore Prolog with sb0, a streamlined environment for developing logic-based applications and enhancing your programming skills.
🧠 Enhance logic programming with Prolog-KNE, a toolkit for knowledge extraction and natural language understanding in Prolog environments.
🤖 Enhance machine learning with CCG for improved performance and simplified model building in your AI projects.
🤖 Simplify natural language processing with this flexible, context-free grammar model designed for machine learning applications.
🧩 Implement object-oriented programming concepts in Prolog for cleaner, more efficient code organization and design.
Lightweight 2011 RuneScape multiplayer server
SLING - A natural language frame semantics parser
A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.7TB) to detect contradictions and make logical deductions.
Service-separated scalable version of original BrainAPI (now community v0 version) project.
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