A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Qualitative reasoning about physical systems
Qualitative reasoning about physical systems
Project Aura: Toward Distraction-Free Pervasive Computing
IEEE Pervasive Computing
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
A task execution framework for autonomic ubiquitous computing
A task execution framework for autonomic ubiquitous computing
PICO: A Middleware Framework for Pervasive Computing
IEEE Pervasive Computing
Hi-index | 0.00 |
The expert knowledge about incineration process is often imprecise and of qualitative nature. In this paper, we present a framework for incineration process control based on qualitative incineration process model. Our framework is designed on the basis of multi-agent platform to apply to ubiquitous computing environment. Once end-user chooses a task, the framework is designed to provide remote context-aware services through cooperation between agents. The task is to correct undesired state of a chosen incineration plant, i.e., to change a physical parameter to some desired value. The framework finds appropriate services by analyzing causal relations between parameters. Since problem solving uses qualitative and common sense knowledge, interactions with users are natural and easily understandable. The framework has been implemented and test on several tasks.