Knowledge-based Extraction of Area of Expertise for Cooperation in Learning


Using each other's knowledge and expertise in learning - what we call cooperation in learning- is one of the major existing methods to reduce the number of learning trials, which is quite crucial for real world applications. In situated systems, robots become expert in different areas due to being exposed to different situations and tasks. As a consequence… (More)
DOI: 10.1109/IROS.2006.281730