A User-Guided Cognitive Agent for Network Service Selection in Pervasive Computing Environments

Connectivity is central to pervasive computing environments. We seek to catalyze a world of rich and diverse connectivity through technologies that drastically simplify the task of providing, choosing, and using wireless network services; creating a new and more competitive environment for these capabilities. A critical requirement is that users are able to benefit from this rich environment, rather than simply being overloaded with choices. We address this with an intelligent software agent that transparently and continually chooses from among available network services based on its user's individual needs and preferences, while requiring only minimal guidance and user interaction. In this paper, we present an overview and model of the network service selection problem. We then describe an adaptive user agent that learns its user's network service preferences from a very minimal, intuitive set of inputs, and autonomously and continually select the service that best meets th...

• Type: Conference
• Year: 2004
• Where: PERCOM
• Authors: George Lee, Peyman Faratin, Steven Bauer, John Wroclawski
• Keywords: Adaptive User Agent, Network Service Preferences, Network Service Selection, PERCOM 2004, Wireless Networks