UrbsLab / PyKE_ExpertSystem_Example_BMIN520Links
Example PyKE code and Jupyter Notebook for a simple backwards chaining expert system as described in this lecture on YouTube: https://www.youtube.com/watch?v=mzsk5_EmZq8
☆24Updated 4 years ago
Alternatives and similar repositories for PyKE_ExpertSystem_Example_BMIN520
Users that are interested in PyKE_ExpertSystem_Example_BMIN520 are comparing it to the libraries listed below
Sorting:
- DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…☆251Updated 11 months ago
- A Python-based interpreter for the agent-oriented programming language JASON☆52Updated last year
- Incremental Learning Event Definitions☆14Updated 9 years ago
- Port of Aleph to SWI-Prolog☆49Updated last year
- Symbolic Reinforcement Learning using Inductive Logic Programming☆62Updated 2 years ago
- A toolbox for logical and probabilistic reasoning, StarAI, ILP and Program synthesis☆23Updated 4 years ago
- ☆19Updated 2 years ago
- This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable …☆33Updated 7 years ago
- Python wrapper around several Prolog engines. Hoping to make symbolic AI a part of standard AI toolkit.☆85Updated 3 years ago
- An inductive logic programming system☆231Updated last month
- Python library that enables using prolog syntax and logic programming in python☆126Updated 2 years ago
- An explainable inference software supporting annotated, real valued, graph based and temporal logic☆272Updated last month
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆24Updated 2 years ago
- The main repository integrating the LaTeX beamer-based slides☆26Updated 3 months ago
- Neuro-Symbolic AI Toolkit☆92Updated last year
- An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting☆31Updated last year
- ☆33Updated last year
- ☆43Updated 2 years ago
- Prolog is suitable enviroment for writting planners. However there is no way how to work with PDDL files so far. In this library we provi…☆19Updated 3 years ago
- Explanations in Multi-Model Planning☆11Updated 5 years ago
- Repository that lets you run an automated planner as a service on heroku.☆26Updated 3 years ago
- Soar Agent (and SML code) that learns through situated interactive instruction in a robotic environment☆34Updated last year
- A Python implementation of the ACT-R cognitive Architecture☆32Updated 5 months ago
- BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.☆32Updated last year
- Metagol - an inductive logic programming system☆203Updated 3 years ago
- 🗺️ ASP planning tools for PDDL☆29Updated 4 years ago
- Experimental Python implementation of the Clarion cognitive architecture☆51Updated last month
- Adaptive Neuro-Symbolic Network Agent☆38Updated 3 years ago
- Neuro-Symbolic Hierarchical Rule Induction☆14Updated 2 years ago
- Experimentation framework for Popper☆23Updated last year