ABSTRACT
This chapter presents an application of anticipatory networks to construct scenarios and select a best-compromise development strategy of complex information systems. We will provide a constructive approach to computing nondominated strategies that comply with the anticipatory preference structure. Scenario building and filtering process merges the statistical and judgmental forecasting of future decision problem parameters with the simulation of multi-criteria decision making procedures. Anticipatory decision-making principles applied in multi-criteria sustainable planning yield future visions that correspond to best-compromise management strategies. As a real-life case study we will present a detailed analysis of planning the future operation of an innovative digital knowledge platform. The platform’s performance is optimized with respect to multiple criteria related to financial sustainability, technological excellence, and social benefits. This platform has been developed within a recent EU Horizon-2020 research project (cf. www.moving-project.eu).
