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In \citet{sequeira2015let}'s study, they introduced the EMOTE project (http://www.emote-project.eu/). The said project aimed to create a new era of artificial exhibit tutors that have perceptive potential to engage interactions with learners in a shared physical space \cite{castellano2013towards}. A learning scenario concerning a modified version of the serious game EnerCities (EC) \cite{knol2010enercities} was created in which an artificial tutor cooperates with two students about the construction of an energy-sustainable city. The multi-player version of EC featured in the learning scenario of the EMOTE project is a collaborative game, where each player can claim one of three possible roles: Mayor, Economist, and Environmentalist. EC is also a turn-based game whose global objective is for the players to gain awareness in environmental issues related with energy consumption. Every player has different ways of helping the city wherein a player can contribute different set of actions with different corresponding outcomes. They propose an Artificial Intelligence (AI) module that allows an artificial tutor in EMOTE to play the multi-player version of EC in an effective and adaptive manner. The AI module was able to play optimally but with a human supervisor who was permitted to adjust the scores in guiding the action selection process. In this manner, the tutor's play can last from "environmental-friendly" to absolute "money-driven". It also maintains a high-level model of strategic planning adopted by the players. Also, in order to maximize the probability of achieving a sustainable city structure it automatically adjusts its own scoring \cite{sequeira2015let}.  In \citet{sequeira2015let}'s study, the game's city is also represented by 45 distinct cells in which the player can build structures. There are 21 different structures available and 56 distinct upgrades that one can perform. Every structure built and upgrade made, with their location contains different score. The game progresses through 4 different levels. When it reach the designated population, the level will change and more kinds of structures and an expanded space for building them will be available, as can be seen in figure \textbf{BLANK}. Figure 19.  The game will end when one of these conditions is met: a sustainable city with a population level of 200 is reach in level 4; the city runs out of non-renewable resources like the oil level goes to zero. A city is consider sustainable if the scores have an above-zero level \cite{sequeira2015let}.