This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
With large volume data sets, it can be difficult to visualize the data all at once. Multiple views can address this problem by displaying details in areas of interest while still ...
Sketch maps are an important spatial representation used in many geospatial reasoning tasks. This paper describes techniques we have developed that enable software to perform huma...
Kenneth D. Forbus, Jeffrey M. Usher, Vernell Chapm...
A new age of heterogeneous resource integration has begun. Next generation of integration systems will utilize different methods and techniques to achieve the vision of ubiquitous...
Oleksiy Khriyenko, Oleksandr Kononenko, Vagan Y. T...