Information Cascade, Kirman’s Ant Colony Model, and Kinetic Ising Model

We discuss a voting model in which voters can obtain information from a finite number of previous voters. It is the equilibrium process. There exist three groups of voters: (i) digital herders and independent voters, (ii) analog herders and independent voters, and (iii) \(\tanh \)-type herders. In the case (i), we show that the solution oscillates between the two states. A good (bad) equilibrium is where a majority of r select the correct (wrong) candidate. We show that there is no phase transition when r is finite. If the annealing schedule is adequately slow from finite r to infinite r, the voting rate converges only to the good equilibrium. In case (ii), the state of reference votes is equivalent to that of Kirman’s ant colony model, and it follows beta-binomial distribution. In case (iii), we show that the model is equivalent to the finite-size kinetic Ising model. If the voters are rational, a simple herding experiment of information cascade is conducted. Information cascade results from the quenching of the kinetic Ising model. As case (i) is the limit of case (iii) when \(\tanh \) function becomes a step function, the phase transition can be observed in infinite-size limit. We can confirm that there is no phase transition when the reference number r is finite. This chapter is based on Hisakado and Mori (Physica A 417:63–75, 2015).