Daniel Shapiro, Tolga Konik, Paul O'Rorke
Transfer is the ability to employ knowledge acquired in one task to improve performance in another. We study transfer in the context of the ICARUS cognitive architec-ture, which supplies diverse capabilities for execution, inference, planning, and learning. We report on an exten-sion to ICARUS called representation mapping that trans-fers structured skills and concepts between disparate tasks that may not even be expressed with the same symbol set. We show that representation mapping is naturally integrated into ICARUS’ cognitive processing loop, resulting in a system that addresses a qualitatively new class of problems by considering the relevance of past experience to current goals.
Subjects: 2. Architectures; 12. Machine Learning and Discovery
Submitted: Apr 16, 2008