This paper addresses the multi-agent patrolling problem, which consists for a set of autonomous agents to visit all the places of an unknown environment as regularly as possible. T...
During the last years, argumentation has been gaining increasing interest in modeling different reasoning tasks of an agent. Many recent works have acknowledged the importance of ...
We extend the knowledge compilation map introduced by Darwiche and Marquis with new propositional fragments obtained by applying closure principles to several fragments studied so...
In this paper we describe the Automatic Task Demonstration Generator (ATDG), a system implemented into a software prototype for teaching the operation of a robot manipulator deplo...
Khaled Belghith, Benjamin Auder, Froduald Kabanza,...
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In this paper we pr...
We present a new method and system, called IGOR2, for the induction of recursive functional programs from few nonrecursive, possibly non-ground example equations describing a subse...
Abstract. Conflict-based diagnosis is a recently proposed probabilistic method for model-based diagnosis, inspired by consistencybased diagnosis, that uses a measure of data confli...
The goal of breast cancer screening programs is to detect cancers at an early (preclinical) stage, by using periodic mammographic examinations in asymptomatic women. In evaluating ...
Marina Velikova, Peter J. F. Lucas, Nivea de Carva...