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216 Socially Intelligent Agents

(ii) the capability of modeling, from the interaction with the game, the players’
cognitive and meta-cognitive skills, along with their emotional states and the
status of the collaborative interaction;
(iii) the capability of making intelligent decisions as to when and how to in-
tervene to improve effective collaboration and learning, without compromising
the level of motivation and engagement fueled by the game.

3.1 Architecture

Figure 26.1. Architecture for SIAs in a multi-player, multi-activity educational game

Figure 1 sketches our proposed general architecture underlying the function-
ing of socially intelligent characters for a multi-player, multi-activity educa-
tional game. As students engage in the different activities available within the
game, their behavior ismonitoredbytheagentscurrently involved in the interac-
tion, through their Behavior Interpreters. Each Behavior Interpreter specializes
in interpreting actions related to a specific player’s behavior (e.g., behavior re-
lated to game performance, meta-cognitive skills, collaboration and emotional