Description: Hybrid AI is an approach that combines different types of artificial intelligence techniques, such as symbolic AI and machine learning, to leverage the strengths of each method. This approach seeks to integrate the logic and reasoning of symbolic AI with the learning and adaptation capabilities of machine learning. Symbolic AI is based on rules and explicit representations of knowledge, allowing for clear and understandable reasoning. On the other hand, machine learning focuses on analyzing large volumes of data to identify patterns and make predictions. By combining these two paradigms, Hybrid AI can tackle complex problems more effectively, offering solutions that are both interpretable and adaptive. This approach is particularly relevant in contexts where quick and accurate decision-making is required, as well as in applications that demand a high level of personalization and context. Hybrid AI is becoming an active area of research, as it allows artificial intelligence systems to be more robust and versatile, adapting to various environments and needs.
