  We study a learning model in which an agent is stationed at each vertex of
$\mathbb{T}_{m}$, the rooted tree in which each vertex has $m$ children. At any
time-step $t \in \mathbb{N}_{0}$, they are allowed to select one of two
available technologies: $B$ and $R$. Let the technology chosen by the agent at
vertex $v\in\mathbb{T}_{m}$, at time-step $t$, be $C_{t}(v)$. Let
$\{C_{0}(v):v\in\mathbb{T}_{m}\}$ be i.i.d., where $C_{0}(v)=B$ with
probability $\pi_{0}$. During epoch $t$, the agent at $v$ performs an
experiment that results in success with probability $p_{B}$ if $C_{t}(v)=B$,
and with probability $p_{R}$ if $C_{t}(v)=R$. If the children of $v$ are
$v_{1},\ldots,v_{m}$, the agent at $v$ updates their technology to
$C_{t+1}(v)=B$ if the number of successes among all $v_{i}$ with
$C_{t}(v_{i})=B$ exceeds, strictly, the number of successes among all $v_{j}$
with $C_{t}(v_{j})=R$. If these numbers are equal, then the agent at $v$ sets
$C_{t+1}(v)=B$ with probability $1/2$. Else, $C_{t+1}(v)=R$. We show that
$\{C_{t}(v):v\in\mathbb{T}_{m}\}$ is i.i.d., where $C_{t}(v)=B$ with
probability $\pi_{t}$, and $\{\pi_{t}\}_{t \in \mathbb{N}_{0}}$ converges to a
fixed point $\pi$ of a function $g_{m}$. For $m \geqslant 3$, there exists a
$p(m) \in (0,1)$ such that $g_{m}$ has a unique fixed point, $1/2$, when $p
\leqslant p(m)$, and three distinct fixed points, of the form $\alpha$, $1/2$
and $1-\alpha$, when $p > p(m)$. When $m=3$, $p_{B}=1$ and $p_{R} \in [0,1)$,
we show that $g_{3}$ has a unique fixed point, $1$, when $p_{R} < \sqrt{3}-1$,
two distinct fixed points, one of which is $1$, when $p_{R} = \sqrt{3}-1$, and
three distinct fixed points, one of which is $1$, when $p_{R} > \sqrt{3}-1$.
When $g_{m}$ has multiple fixed points, we also specify which of these fixed
points $\pi$ equals, depending on $\pi_{0}$. For $m=2$, we describe the
behaviour of $g_{3}$ for all $p_{B}$ and $p_{R}$.
