👉 Caroline computing is a novel approach to artificial intelligence that emphasizes the development of intelligent systems by integrating human cognitive processes with machine learning techniques. It draws inspiration from Caroline's work in cognitive architectures, which focus on modeling human thought processes and reasoning. In Caroline computing, the goal is to create AI systems that can understand, learn, and interact with humans in a more natural and intuitive way by mimicking human cognitive abilities such as perception, memory, attention, and decision-making. This approach aims to bridge the gap between human-like intelligence and machine efficiency, making AI more adaptable and context-aware in real-world applications. By leveraging cognitive architectures, Caroline computing seeks to build systems that can handle complex tasks, reason under uncertainty, and learn from limited data, ultimately leading to more robust and flexible AI solutions.
