Learning by Taking Advice

The idea of advice taking in AI based learning was proposed as early as 1958 (McCarthy). However very few attempts were made in creating such systems until the late 1970s. Expert systems providing a major impetus in this area.

There are two basic approaches to advice taking:

• Take high level, abstract advice and convert it into rules that can guide performance elements of the system. Automate all aspects of advice taking
• Develop sophisticated tools such as knowledge base editors and debugging. These are used to aid an expert to translate his expertise into detailed rules. Here the expert is an integral part of the learning system. Such tools are important in expert systems area of AI.

 
• Automated Advice Taking
• Knowledge Base Maintenance
• Example Learning System - FOO