Final answer:
The CYC project aims to develop an AI with common-sense knowledge for nuanced reasoning. To make MYCIN an intelligent agent while maintaining its ES properties, one would add machine learning for it to learn and adapt autonomously.
Step-by-step explanation:
The CYC project, a long-term initiative in artificial intelligence, aims to develop a comprehensive ontology and knowledge base that can be used for various AI applications. Its current state is that it contains an extensive collection of common-sense knowledge, enabling AI to perform more human-like reasoning. The future hopes of its designers are to further advance AI’s understanding and processing of the world, making it more capable of nuanced decision-making and interaction.
To transform MYCIN, originally an expert system (ES) designed for identifying bacterial infections and recommending antibiotics, into an intelligent agent, I would incorporate the ability to learn from new cases and make decisions autonomously while maintaining its original ES properties. This means adding machine learning algorithms that enable MYCIN to improve its diagnostic accuracy over time based on outcomes and feedback. The system would thus become an intelligent agent with the ability to adapt and evolve while keeping its expert knowledge base.