The literature has provided a vast amount of empirical evidence consistent with the idea that individuals are affected by their relative position. However, the literature has found it difficult to rationalize this behaviour. ...

Recent developments in Reinforcement Learning (RL) methods are focused on models that can learn good policies in non stationary environments, such as multi-agent games, where agents must learn how to react to changes in ...

Background: Nectar gain and loss are important flower transitions observed in angiosperms, and are particularly common in orchids. To understand such transitions, the availability of detailed anatomical data and species-level ...

We study a population involved in a cyclic game of three strategies – the rock-paper-scissors game – whose agents interact through groups of three individuals (triplets), considering the possibility that two weak agents ...

The present study involves experiments and modelling aimed at characterizing the passive structural mechanical behavior of the chronic hypoxic lamb thoracic aorta, whose gestation, birth and postnatal period were carried ...