Chapter 3 Core System Components and Internal Implementation
3.1 Introduction The previous chapter explained how a user request flows through the Adaptive Cognitive AI (ACAI) architecture. This chapter focuses on the internal engineering components that make the architecture possible. Unlike a traditional chatbot, ACAI is designed as a collection of independent but coordinated modules. Each module has a clearly defined responsibility, communicates through…
The report outlines the internal implementation of the Adaptive Cognitive AI (ACAI) architecture, which is composed of several independent modules designed to work together seamlessly. These modules include the API Gateway and Authentication, Intent Analyzer, Goal Analyzer, Dynamic Task Planner, Semantic Memory Manager, Knowledge Retrieval Engine, Context Optimization Engine, Foundation Language Model, Multi-Agent Coordinator, Verification Engine, Confidence Estimation Engine, and Response Optimization.
Each module has a specific responsibility and communicates through structured interfaces, allowing for independent improvement and maintenance. The API Gateway acts as the entry point for all requests, handling authentication, authorization, rate limiting, request validation, API routing, logging, and session creation. Authentication is performed before any request processing, with methods such as username and password, OAuth, JWT tokens, enterprise single sign-on, and API keys. Once authenticated, a session is created to maintain conversation state during the interaction.
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