Interactions between agents in an open system such as the Internet require a significant degree of flexibility. A crucial aspect of the development of such methods is the notion o...
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
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...
We consider a novel class of applications where a set of activities conducted by a group of people over a time period needs to be planned, taking into account each member's p...
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...