Hydrodynamics of Cooperation and Self-Interest in a Two-Population Occupation Model
arXiv:2412.14996 · doi:10.1103/3bj7-jc92
Abstract
We study the hydrodynamics of a system of agents who optimize either their individual utility (self-interest) or the collective welfare (cooperation). When agents act selfishly, their interactions are non-reciprocal, driving the system out of equilibrium; by contrast, purely altruistic dynamics restore reciprocity and yield an equilibrium-like description. We investigate how mixtures of these two behaviors shape the macroscopic properties of the liquid of agents. For highly rational agents, we find that introducing a small fraction of altruists can suppress the sub-optimal clustering induced by selfish dynamics. This phenomenon can be attributed to altruists localizing at interfaces and acting as effective surfactants, shedding a new light on earlier findings in fixed neighborhood-based models [Phys. Rev. Lett. \textbf{120}, 208301 (2018)]. When agents are boundedly rational, we introduce a well-mixed approximation that reduces the two-population model to a single effective scalar field theory. This allows us to leverage state-of-the-art tools from active matter to analytically characterize how altruism modifies surface tension and nucleation dynamics.
References in corpus (18)
- The Mechanics and Statistics of Active Matter
- A continuum theory of phase separation kinetics for active Brownian particles
- Scalar field theory for active-particle phase separation
- Crises and collective socio-economic phenomena: simple models and challenges
- Generalized Thermodynamics of Phase Equilibria in Scalar Active Matter
- Entropy production in field theories without time reversal symmetry: Quantifying the non-equilibrium character of active matter
- Cluster phases and bubbly phase separation in active fluids: Reversal of the Ostwald process
- Generalized thermodynamics of Motility-Induced Phase Separation: Phase equilibria, Laplace pressure, and change of ensembles
- Competition between collective and individual dynamics
- Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks
- Dynamics of interacting particle systems: stochastic process and field theory
- Capillary interfacial tension in active phase separation
- Morphological computation and decentralized learning in a swarm of sterically interacting robots
- Classical Nucleation Theory for Active Fluid Phase Separation
- Field theories and exact stochastic equations for interacting particle systems
- Giant catalytic effect of altruists in Schelling's segregation model
- Socio-economic utility and chemical potential
- Molecular fields and statistical field theory of fluids. Application to interface phenomena