understandin the ezAGI framework requires a fundamental comprehension of reasoning with SocraticReasoning.py disclaimer: ezAGI fundamental Augmented Generative Intelligence may or not be be fun. use at own risk. breaking changes version 1 To fully audit the behavior of how the premise field is populated in the SocraticReasoning class, we will: SocraticReasoning.py Audit Initialization and setup of SocraticReasoning class Adding Premises Programmatically Adding Premises Interactively Now, let’s look at the interactive part of the interact method: […]

MASTERMIND is an advanced agency control structure designed for intelligent decision-making and strategic analysis. It orchestrates the interaction between various components of a larger system, managing workflows and ensuring consistency across operations. MASTERMIND integrates modules for prediction, reasoning, logic, non-monotonic reasoning, and more to handle complex tasks dynamically and adaptively. Here are some key aspects of MASTERMIND: Modular Architecture: It coordinates between multiple modules like prediction, logic, and reasoning to process data and execute complex […]

aGLM, or Autonomous General Learning Model, is designed to operate as a core model for autonomous data parsing and learning from memory in the context of artificial intelligence systems. It’s a pivotal element within a broader system called RAGE (Retrieval Augmented Generative Engine). Key aspects and functionalities of aGLM: Autonomous Learning: aGLM is built to learn autonomously from interactions and data retrievals. It continuously updates its knowledge base, refining its capabilities based on new data […]