Extending object-oriented world modeling for adaptive open-world modeling

In this technical report, details for extending the Object-Oriented World Model (OOWM) to an open-world modeling approach by adaptive management of its background knowledge are proposed. In general, a world model can serve as a central component in autonomous and cognitive systems for integrating, storing and disseminating information about an observed environment. Thus, a world model creates an abstract, simplified representation of an observed real-world domain. For allowing high-level information processing on a semantic layer, representations of real-world entities can be semantically enriched by domain models. In general, a domain model contains only a fixed number of a priori defined concepts from a closed world. However, in many real-life applications, the considered environment is not closed. For coping with changing environments, a cognitive system must be equipped with an adaptive world model able to adjust to an observed open environment. This technical report proposes details on how the OOWMcan be extended for adaptive world modeling by continuously evaluating the quality of its domain model in comparison to observed information.