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Collective defense of honeybee colonies: experimental results and theoretical modeling
Social insect colonies routinely face large vertebrate predators, against which they need to mount a collective defense.
Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics.
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
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 the presence of genuine thought.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Modelling collective motion based on the principle of agency
Collective motion is an intriguing phenomenon, especially considering that it arises from a set of simple rules governing local interactions between individuals.
Inferring causal structure: a quantum advantage
The problem of using observed correlations to infer causal relations is relevant to a wide variety of scientific disciplines.
