36 citations · 89 across the 6 of their papers we have counts for
6 papers
Emergent aggregation from collective foraging
Gorka Muñoz-Gil, Andrea López-Incera, Vide Ramsten +3
Collective behaviour in living systems is usually modelled as the outcome of a \emph{direct} social drive: agents are rewarded, or hard-wired, to align with or approach their neigh…
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini, Marius Krumm, Lukas J. Fiderer +2
Variational quantum algorithms represent a promising approach to quantum machine learning where classical neural networks are replaced by parametrized quantum circuits. However, bo…
Collective defense of honeybee colonies: experimental results and theoretical modeling
Andrea López-Incera, Morgane Nouvian, Katja Ried +2
Social insect colonies routinely face large vertebrate predators, against which they need to mount a collective defense. To do so, honeybees use an alarm pheromone that recruits ne…
Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Andrea López-Incera, Katja Ried, Thomas Müller +1
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work,…
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
Katja Ried, Benjamin Eva, Thomas Müller +1
According to a mainstream position in contemporary cognitive science and philosophy, the use of abstract compositional concepts is both a necessary and a sufficient condition for t…
Modelling collective motion based on the principle of agency
Katja Ried, Thomas Müller, Hans J. Briegel
Collective motion is an intriguing phenomenon, especially considering that it arises from a set of simple rules governing local interactions between individuals. In theoretical mod…