• Relating the structure of a problem and its explanation 

  Freuder, Eugene C. (Association for the Advancement of Artificial Intelligence (AAAI), 2019-01)

  As AI becomes more ubiquitous there is increasing interest in computers being able to provide explanations for their conclusions. This paper proposes exploring the relationship between the structure of a problem and its ...
• Constrainedness in stable matching 

  Escamocher, Guillaume; O'Sullivan, Barry (Institute of Electrical and Electronics Engineers (IEEE), 2018-12-17)

  In constraint satisfaction problems, constrainedness provides a way to predict the number of solutions: for instances of a same size, the number of constraints is inversely correlated with the number of solutions. However, ...
• A Linked Data browser with recommendations 

  Durao, Frederico; Bridge, Derek G. (Institute of Electrical and Electronics Engineers (IEEE), 2018-12-17)

  It is becoming more common to publish data in a way that accords with the Linked Data principles. In an effort to improve the human exploitation of this data, we propose a Linked Data browser that is enhanced with ...
• From offline to online kidney exchange optimization 

  Chisca, Danuta Sorina; Lombardi, Michele; Milano, Michela; O'Sullivan, Barry (Institute of Electrical and Electronics Engineers (IEEE), 2018-12-17)

  Kidney exchange programs enable willing, but incompatible, donor-patient pairs to swap donors, thus allowing persons suffering from organ failure to access transplantation. Choosing which pairs to match requires solving a ...
• On-line reinforcement learning for trajectory following with unknown faults 

  Sohége, Yves; Provan, Gregory (CEUR-WS.org, 2018-12)

  Reinforcement learning (RL) is a key method for providing robots with appropriate control algorithms. Controller blending is a technique for combining the control output of several controllers. In this article we use on-line ...

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