Clément Sire

The paper investigates how competition within and between groups affects cooperation in stigmergic systems using the Stigmer Game with human participants under different payment rules.

The paper uses a robotic fish to test interaction rules in schooling fish, showing that hydrodynamic interactions are critical for collective behavior.

This study investigates how escape information spreads in fish schools by conditioning some individuals and observing collective behavior.

The paper develops a 3D model of social coordination in fish using real behavior data and validates it through a closed-loop virtual reality system.

This study shows that swimming speed affects social interaction strength in fish by altering attraction, alignment, and repulsion behaviors in a virtual reality setup.

The paper uses a computational model to show that group size and social interaction strength affect how fish groups respond to perturbations, with larger groups being more sensitive to disturbances.

The paper uses a closed-loop virtual-reality system to study how schooling fish integrate social information, finding that fish primarily respond to the most influential neighbor.

Real rummy-nose tetras follow a projected, anamorphically rendered virtual conspecific in a low-cost open-source 3D-tracked VR bowl, largely matching its speed and depth; a moving sphere elicits weak following.

This study shows that schooling fish adjust their social interactions under stress to reach a critical state, enhancing adaptability, with group size influencing the need for external stressors.

This paper introduces a fish school model with burst-and-coast swimming that replicates collective phases like schooling and swarming, but cohesion diminishes over time except in swarming.

This paper introduces a network-free AI framework based on data interpolation, demonstrating its effectiveness in generative modeling across ethology, control theory, and mathematics.