Title:

A kinetic model for ﬂocking

Abstract:

The description of emerging collective behaviors and self–organization in multi-

agent interactions has gained increasing interest from various research commu-

nities in biology, ecology, robotics and control theory, as well as sociology and

economics. In the biological context, the emergent behavior of bird ﬂocks, ﬁsh

schools or bacteria aggregations, among others, is a ma jor research topic in

population and behavioral biology and ecology. In this talk [1], we introduce

and analyze a continuous version of the ﬂocking model of Cucker and Smale

[2], which describes the state of a population of birds. Within the same idea

that a bird adjusts its velocity towards the average of neighbors’ velocities, we

construct a spatially dependent Boltzmann-type equation which describes the

behavior of the ﬂock in terms of a density f = f (x, v, t). The large-time behav-

ior of f is subsequently studied by means of mass transportation techniques.

In particular, a continuous analogue of the theorems of [2] is shown to hold for

the solution. These results generalize the approach by Ha and Tadmor [3], who

investigated the large-time behavior of the solution by different techniques.

References

[1] J.A. Carrillo, M. Fornasier, G. Toscani: A kinetic model for ﬂocking (preprint) (2008)

[2] F. Cucker, S. Smale: IEEE Trans. Automat. Control 52 (2007) 852–862.

[3] Seung-Yeal Ha, E. Tadmor: Kinetic and Related Models 1(3) (2008) 415-435.