Professor of Computer Science
Director, UC Santa Cruz D3 Data Science Research Center
University of California Santa Cruz
Emeritus Research Director
The Challenges of Integrative AI:
Interesting scientific controversies have been going for the last few years on recent trends in AI, sometime referred to as the “swing from symbolic to numeric AI”. Such a dichotomy might not be very clarifying nor relevant for the advancement of the field. If one views and practices AI as a multidisciplinary research field whose purpose is the computational modeling and mechanization of a diversity of cognitive tasks (that may require embodiment in sensory-motor capabilities), then one has to face the challenges of integrating a diversity of mathematically heterogeneous representations. A single class of models highly adequate for, e.g., data association, can be totally ineffective for other purposes, such as, in this example, extracting and reasoning on the underlying ontology. The ambition of Integrative AI is precisely to develop approaches and architectures capable of handling heterogeneous representations.
The research activity of Malik Ghallab is focused on robotics and AI. He contributed to topics such as object recognition and pattern matching, scene interpretation, heuristics search, unification algorithms, knowledge compiling, temporal reasoning, task planning, monitoring, and learning of robots skills and models of behaviors. He (co-)authored over 200 technical articles in journals and conference proceedings, and several textbooks and monographies. He taught AI at several universities in France and abroad as visiting professor; he advised 31 PhDs.