Overview The LogicTables module is designed to handle logical expressions, variables, and truth tables. It provides functionality to evaluate logical expressions, generate truth tables, and validate logical statements. The module also includes logging mechanisms to capture various events and errors, ensuring that all operations are traceable. Class LogicTables Attributes

The funAGI system is designed as a modular framework for developing an autonomous general intelligence. The workflow integrates several components and libraries to achieve adaptability, dynamic interaction, continuous optimization, and secure data management. Below is a detailed explanation of the funAGI workflow based on the provided files and documentation. 1. Component Initialization 2. Core AGI Logic 3. User Interaction 4. Reasoning and Logic 5. API and Integration 6. Communication and Interaction 7. Installation and Requirements […]

ezAGI fundamental Augmented General Intelligence draw_conclusion(self) method The draw_conclusion method is designed to synthesize a logical conclusion from a set of premises, validate this conclusion, and then save the input/response sequence to a short-term memory storage. This function is a critical component in the context of easy Augmented General Intelligence (AGI) system, as it demonstrates the ability to process information, generate responses, validate outputs, and maintain a record of interactions for future reference and learning. […]