—Society relies heavily on its networked physical infrastructure and information systems. Accurately assessing the vulnerability of these systems against disruptive events is vit...
Thang N. Dinh, Ying Xuan, My T. Thai, Panos M. Par...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Group Decision Support Systems (GDSS) present important limitations that constrain their usage in current organisations. The fundamental reason is the lack of integration in the c...
Abstract. Constraint satisfaction problems provide strong formalism for modeling variety of real life problems. This paper presents a work currently in progress of which the goal i...
— Motion planning for robotic arms is important for real, physical world applications. The planning for arms with high-degree-of-freedom (DOF) is hard because its search space is...