2. ("xor_euc_gen" branch) the Python code, data, and evaluation results reported in the publication "An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information" by Ilia Stepin, Jose M. Alonso-Moral, Alejandro Catala, Martin Pereira-Fariña (under review in "Information Sciences").
3. ("dialgame" branch) the Python code, data, and evaluation results reported in the publication "Information-Seeking Dialogue for Explainable Artificial Intelligence" by Ilia Stepin, Katarzyna Budzynska, Jose M. Alonso-Moral, Alejandro Catala, Martin Pereira-Fariña (under review in "Argument and Computation").
# Prerequisites
To run experiments, you should have the modules `py4jfml` and `simplenlg` installed:
