My thesis aims at conceptualizing and implementing a computational model of narrative generation that is informed by narratological theory as well as cognitive multi-agent simulation models. It approaches this problem by taking a mimetic stance towards fictional characters and investigates how narrative phenomena related to characters can be computationally recreated from a deep character model grounded in multi agent systems. Based on such a conceptualization of narrative it explores how the generation of plot can be controlled, and how the quality of the resulting plot can be evaluated, in dependence of fictional characters. By that it contributes to research on computational creativity by implementing an evaluative storytelling system, and to narratology by proposing a generative narrative theory based on several post-structuralist descriptive theories.
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For us, "digital" means using technical and societal changes as opportunities to create new products and services, and deliver them in new and compelling ways. It requires reimagining everyday interactions from the perspective of the consumer, not through the constraints of legacy technology platforms. And it requires designing every offering from a cloud-first and mobile-first perspective, and quickly fine-tuning every feature or function so that it meets a real human need that your competitors aren't addressing. In reaching for digital, it's actually a mistake to start with the latest, shiniest new technology. Focus instead on the human aspect by getting a deeper understanding than ever before of your customers, your interactions with them and the hidden needs that new technology could meet.