We focus on the problem of predicting future states of entities in complex, real-world driving
scenarios. Previous research has approached this problem via low-level signals to predict …

… Active inference assumes that adaptive behavior can be described as realizing the
predictions of a generative model (see section “Glossary”) of the agent’s ongoing sensorimotor …

… Latent variable inference involves using the model to … behavioral data, but which the theory
assumes are important for the computations occurring in the brain. Latent variable inference …

… In Part 4, we introduce the reader to learning processes in active inference. In Part 5, we
introduce the reader to the neural process theory associated with active …

… intelligence overlaps with the parts of biology that focus explicitly on group behavior that can
… how the individual insects interact to produce overall behavior that is adaptive for the group. …

… Thus, they infer their own values from past choices. At date zero, an individual starts with
an initial endowment of some asset, forms initial beliefs about herself, and decides whether to …

… allow for causal inferences regarding the effects of morality and trust on societal behaviors.
In a … focused on self-reported behavioral intentions rather than actual behaviors. Thus, future …

… following keywords: collective movement behaviour, collective behaviour, tactical behaviour,
… too much visual clutter to make meaningful inferences. While these variables provide single-…

… Here, we demonstrate 3D collective behaviors with a swarm of fish-inspired miniature …
We show that complex and dynamic 3D collective behaviors—synchrony, dispersion/aggregation, …

… about group behaviors and beliefs, with the goal of improving norm-nudging practices. Even
… and normative information in the inferences individuals tend to draw from each of them. …