Abstract— Robust ego-motion estimation in urban environments is a key prerequisite for making a robot truly autonomous, but is not easily achievable as there are two motions invo...
Research into large-scale distributed systems often relies on the use of simulation frameworks in order to bypass the disadvantages of performing experiments on real testbeds. SimG...
Resource discovery in a Grid environment is a critical problem, as a typical Grid system includes a very large number of resources, which must be readily identified and accessed ...
This paper describes LS/ATN, Living Systems R Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business ...
Abstract. One of the most difficult problems in multiagent systems involves representing knowledge and beliefs of agents in dynamic environments. New perceptions modify an agent’...