Abstract-- We present and explore the effectiveness of several variations on the All-Moves-As-First (AMAF) heuristic in Monte-Carlo Go. Our results show that:
Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...
- We describe a Web 3.0 interaction system where the mobile user scenario is combined with a touchscreenbased collaborative terminal. Multiple users should be able to easily organi...
Agents that operate in a real-world environment have to process an abundance of information, which may be ambiguous or noisy. We present a method inspired by cognitive research tha...
Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, T...
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Quantified Boolean formulas are a powerful representation that have been used to capture and solve a variety of problems in Artificial Intelligence. While most research has focused...
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
Trading of resources is an important sociological behaviour that is believed to be indicative of intelligent life forms, but which is non-trivial to model successfully. We have in...