We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
We present a computational model, MoralDM, which integrates several AI techniques in order to model recent psychological findings on moral decision-making. Current theories of mor...
Morteza Dehghani, Emmett Tomai, Kenneth D. Forbus,...
Crowd simulation models are currently lacking a commonly accepted validation method. In this paper, we propose level of presence achieved by a human in a virtual environment (VE) ...
Nuria Pelechano, Catherine Stocker, Jan M. Allbeck...
An important challenge within the field of Criminology is to investigate the spatio-temporal dynamics of crime. Typical questions in this area are how the behaviour of offenders, ...