Step 1: Recall eigenvalue property under polynomials.
If $v$ is an eigenvector of $A$ with eigenvalue $\lambda$, i.e. $Av=\lambda v$, then for any polynomial $p(x)$:
\[
p(A)v = p(\lambda)v.
\]
Thus eigenvalues of $B=p(A)$ are obtained by applying $p(\lambda)$ to each eigenvalue $\lambda$ of $A$.
Step 2: Identify the polynomial $p(\lambda)$.
We are given $B=A^2+2A+I$. Hence the associated polynomial is
\[
p(\lambda)=\lambda^2+2\lambda+1.
\]
Step 3: Simplify $p(\lambda)$.
\[
p(\lambda)=\lambda^2+2\lambda+1=(\lambda+1)^2.
\]
Step 4: Apply to the eigenvalues of $A$.
$A$ has eigenvalues $\lambda=1,2,3$.
\[
p(1)=(1+1)^2=4, p(2)=(2+1)^2=9, p(3)=(3+1)^2=16.
\]
Final Answer:
\[
\boxed{4,\ 9,\ 16}
\]