At present, the search for specific information on the World Wide Web is faced with several problems, which arise on the one hand from the vast number of information sources avail...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
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...
In this paper, we present an action language which is called AP oss in order to perform reasoning about actions under uncertainty. This language is based on a possibilistc logic pr...
Juan Carlos Nieves, Mauricio Osorio, Ulises Cort&e...
FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledg...
Abstract. Argumentation-based formalisms provide a way of considering the defeasible nature of reasoning with partial and often erroneous knowledge in a given environment. This pro...