Tuncer Ören

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The state-of-the art of psychological knowledge about the personality types is distilled to provide a basis for the specification of fuzzy agents with dynamic personality for the simulation of human behavior. The thirty facets, clustered in five traits (or, factors) to determine the personality types are outlined. Three concise representations of the(More)
In this article, the aim is define fuzzy agents with dynamic personality for the simulation of human behavior. Fuzzy sets are defined for personality traits and facets and the concise representation of personality knowledge is processed in fuzzy logic. This work is based on the personality knowledge as distilled from psychology [Ören and GhasemAghaee 2003a].
The significance of simulation modeling at multiple levels, scales, and perspectives is well recognized. However, existing proposals for developing such models are often application specific. The position advocated in this paper is that generic design principles for specifying and realizing multiresolution, multistage models are still lacking. Requirements(More)
The existing trend of application of computerized simulation studies to large and complex systems necessitates the development of an assessment methology for simulation studies. The basic concepts and criteria necessary for such an assessment methodology are presented in a systematic way. The proposed framework permits discussion of the concepts and(More)
In the Winter Simulation Conference 1999 in Phoenix, a series of discussions, conversations, and exchanges on the topic of personnel to meet the current modeling and simulation demands of the civilian application and world military as well led to the idea of giving this discussion a more structured shape in the Winter Simulation Conference 2000. We continue(More)
Emotional intelligence is the ability to process information about one’s own emotions and the emotions of others. It involves perceiving emotions, understanding emotions, managing emotions and using emotions in thought processes and in other activities. Emotion understanding is the cognitive activity of using emotions to infer why an agent is in an(More)
The premise of the agent paradigm, its related theory and methodologies together with advances in multilevel modeling of complex systems of interactions are opening new frontiers for advancing the physical, natural, social, military, and information sciences and engineering. Recent trends have made it clear that simulation model complexity will continue to(More)