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Exploring Cognitive Architectures for AI
The chapter deep dives into cognitive architectures for AI, emphasizing a shift towards investing in fundamental cognitive psychology and reasoning engines rather than solely focusing on machine learning approaches like ML. Practical use cases are explored, such as automating customer calls with hyper-personalization through a knowledge graph, showcasing the integration of business rules and product ontologies for advanced AI capabilities. The limitations of current commercial conversational AI and the focus on developing AI systems with deep understanding, context, reasoning, and common sense knowledge are also discussed.