Cognitive Architecture in AI: Frameworks, Models & Real-World Uses
Discover how Cognitive Architecture is transforming the AI landscape from passive models to autonomous, goal-directed agents. This comprehensive guide explores the structural blueprints that enable machines to simulate human-like cognition—integrating perception, memory systems (working, long-term, and procedural), and reasoning into a unified model. Learn about the transition from \'black box\' neural networks to transparent, hybrid systems like SOAR and ACT-R. We dive deep into real-world applications across BFSI and Healthcare, showing how cognitive frameworks solve complex, multi-step problems, maintain persistent context, and eliminate the \'prototype trap\' for enterprise AI deployments