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Managing Personality Influences in Dialogical Agents

We present in this article an architecture implementing personality traits from the FFM/NEO PI-R taxonomy as influence operators upon the rational decision making process of dialogical agents. The objective is to separate designer-dependent resources (traits taxonomies, influence operators, behaviors/operators links) from the core part of the computational implementation (the personality engine). Through a case study, we show how our approach makes it easier to combine various resources and to observe various scenarios within a single framework.