ELICITING MODEL STRUCTURES FOR MULTIVARIATE PROBABILISTIC RISK ANALYSIS

Notionally objective probabilistic risk models, built around ideas of cause and effect, are used to predict impacts and evaluate trade-offs.In this paper, we focus on the use of expert judgement to fill gaps left by insufficient data and understanding.Psychological and contextual phenomena such as anchoring, availability bias, confirmation bias and

Multi-robot task allocation is one of the main problems to address in order to design a multi-robot system, very especially when robots form coalitions that must carry out tasks before midnight drive nail polish a deadline.A lot of factors affect the performance of these systems and among them, this paper is focused on the physical interference eff