Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such thing/product/service. The maximal goal is to achieve the processing power of a single neuron of a human brain on a single PC. Interactions with billions of other computers should achieve human-level intelligence (AGI).
A scalable, customisable yet simple chatbot built entirely from scratch in C++. The chatbot's domain of expertise can be completely chosen by you. Now, with plugins!
This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.
🧮 Backward chaining rule based system in Python. RPN, Tree resolver, Tree representation, logic rule system, prompt. A medium article is available in description.
👨🏻🌾 An Expert System for smart farming which provides the farmers with best solutions and hardware matching their needs exactly, with the ability to monitor and control the hardware remotely through the website UI in real-time.
An Expert system is a software capable of making complex decisions which only an expert it a particular field can make. Those decisions are accurate and prefect by considering specific set of rules. This project also aims to do the same thing. This is an Expert system capable of assisting user in order to invest or buy from the stock market of a particular asset present. The whole project is prepared in MATLAB.
Film expert system based on logic rules. Created at the Univeristy as the project within Declarative Programming classes in 2015. The purpose of this project was to creat expert system in Prolog and improve understanding of declarative programming paradigm.