Toward Effective Emotional Intelligence Simulation Essay

590 words - 2 pages

The ability to understand the emotions of others is critical for successful interactions among humans (Dias & Paiva, 2009; Kazemifard, Ghasem-Aghaee, & Ören, 2010). The psychological theory of emotional intelligence (EI) proposes four categories of relevant abilities (Mayer & Salovey, 1997): (1) identifying emotions, (2) understanding emotions, (3) using emotions in thought processes, and (4) managing emotions. This research focuses on emotion understanding, the cognitive activity of making inferences using emotional knowledge about why an agent is in an emotional state (e.g., unfair treatment makes an individual angry) and which actions are associated with the emotional state (e.g., an angry individual attacks others). Such emotion understanding in humans develops through their experiences with other agents. How might such learning in humans inform a model to enable artificial emotional agents to develop emotion understanding?
Our approach to answering this question proposes a model of emotion understanding that combines psychological theories of episodic and semantic memory with the rich paradigm of machine understanding. Specifically, our model has five components. (1) Episodic memory (Tulving, 1983) stores details of specific events. (2) Semantic memory (Solms & Turnbull, 2003) stores “general knowledge,” such as the similarity of emotions. (3) Semantic graphs are semantic networks that can learn and represent relationships among emotions and actions stored in episodic memory (we conceptualized these as adding to semantic memory). (4) A perceptual mechanism assigns agents to types (or groups) with similar goals. (5) A memory modulator integrates results of episodic memory and semantic memory. We used the memory modulator to selectively “lesion” the different kinds of memory in order to evaluate how the different kinds of memory helped our simulated agents achieve their goal: to manipulate the emotions of other agents.
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