Principles and design of global proactive scenarios over a network of proactive engines

This thesis examines Global Proactive Scenarios (GPaSs) in the context of proactive computing. GPaSs are Proactive Scenarios (PaSs) that dynamically collect information, provide strategies for cooperative reasoning and support collective decision making [1]. More precisely we will extract properties from GPaSs and define them. Based on these properties we will then create templates for GPaSs, which will help to facilitate and standardize the creation of future GPaSs. The applicability of these templates is showed through the design of GPaSs for three example applications and finally we will implement one of these applications as a proof of concept example to showcase the usage of the templates in the real world.