| Abstract |
The human mind is a powerful multifunctional knowledge storage and management system that performs generalization, type inference, anomaly detection, stereotyping, and other tasks. A dynamic KR system that appropriately profiles over sparse inputs to provide complete expectations for unknown facets can help with all these tasks. It is surprising that the quite natural challenge of profiling has not been addressed (widely) in the AI or NLP literature. I will introduce the cognitive task of profiling as a computational counterpart to the theories and findings in social psychology and anthropology. I will describe and evaluate two generic state-of-the-art neural architectures that can be easily instantiated as profiling machines to generate expectations and applied to any kind of knowledge to fill gaps. |