Augmenting digital documents with negotiation capability

Abstract

Active digital documents are not only capable of performing various operations using their internal functionality and external services, accessible in the environment in which they operate, but can also migrate on their own over a network of mobile devices that provide dynamically changing execution contexts. They may imply conflicts between preferences of the active document and the device the former wishes to execute on. In the paper we propose a solution for solving such conflicts with automatic negotiations, allowing documents and devices to find contracts satisfying both sides. It is based on a simple bargaining model reinforced with machine learning mechanisms to classify string sequences representing negotiation histories.

Smart Document-Centric Processing of Human Oriented Information Flows

“…Finally, a negotiation capability was added to MIND documents to resolve possible conflicts between document-agents and user's devices they visit to execute a particular activity at their workflow [30].…”

“…Thus, it can dynamically adjust to various execution contexts provided by devices. It may have a certain performance strategy for a given device, which it can consult with users by negotiating with their device [30].…”