Graphical games capture some of the key aspects relevant to the study and design of multi-agent systems. It is often of interest to find the conditions under which a game is stab...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
In this paper we deal with the problem of providing natural language front-ends to databases upon which an ontology layer has been added. Specifically, we are interested in expres...
Raffaella Bernardi, Diego Calvanese, Camilo Thorne