NOTE: Prof. Ram is on leave at Xerox PARC and not accepting new students at this time.
CCL pursues research at the intersection of artificial intelligence and human-centered computing, developing systems that are both intelligent and design to interact intelligently with humans. CCL is directed by Prof. Ashwin Ram.
CCL pursues fundamental and applied research in the context of real-world problems and applications which (i) inform and constrain the research, and (ii) provide an opportunity to demonstrate new technology in working systems. CCL tackles problems that are “cognitive” in two respects:
- the solution requires cognition: CCL systems are intelligent and embody a theory of learning and cognition (AI)
- the solution aids cognition: CCL systems are designed with cognitive principles in order to interact naturally with humans (HCC)
CCL research lies at the intersection of AI (artificial intelligence) and HCC (human-centered computing). CCL’s focus is not cognitive science, it is cognitive computing, with an emphasis on computing and systems issues critical to tackling real-world, large-amounts-of-information, continuous-task, human-in-the-loop problems. It brings together relevant pieces of cognitive science and artificial intelligence with newer approaches from intelligent systems and human-centered computing.
CCL projects use collaborative teams to tackle real-world problems that require basic (publishable) research coupled with applied (deliverable) R&D.