AES	Artificial Environmental Settings
GRN	Gene Regulatory Network
ODE	Ordinary Differential Equation
MLP	Multi-Layer Perceptron
RNN	Recurrent Neural Network
CNN	Convolutional Neural Network
MSE	Mean-Squared Error
MAE	Mean Absolute Error
n	Number of genes
b	Number of observations
m	Number of steps considered in the state matrix
k	Number of experiments
$A_i$	A generic agent related to the i-th gene
$h\left(·\right)$	Agent function
$\mathit{x}$	State of the environment
$\mathit{X}$	State matrix of the environment
$R_{\rho }$	Environment reliability based on Pearson correlation
$R_{\eta }$	Environment reliability based on cosine similarity
$Er{r}_{MSE}$	Environment error based on MSE
$Er{r}_{MAE}$	Environment error based on MAE
$\phi \left(·\right)$	Perturbation function
${\phi }_d$	Duration of a perturbation
$\Delta t_r$	Perturbation instability interval
$G_{i_{\max }}$	Maximum gene expression level observed for the i-th gene in the dataset