Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Garlan, D., Siewiorek, D., Smailagic, A., Steenkiste, P.: Project Aura: Toward Distractif-Free Pervasive Computing. IEEE Pervasive Computing, 22–31 (April-June 2002)
Roman, M., et al.: Gaia: A middleware Infrastructure to Enable Active Spaces. IEEE Pervasive Computing, 74–83 (October-December 2002)
Kumar, M., et al.: PICO: A middleware Framework for Pervasivc Computing 2(3), 72–79 (July-September 2003)
Ranganathan, A.: A Task Execution Framework for Autonomic Ubiquitous Computing. PhD thesis, University of Illinois, Urbana-Champaign, Urbana, Illinois (2005)
de Kleer, J., Brown, J.: A Qualitative Physics based on Confluences. Artificial intelligence 24, 7–83 (1984)
Forbus, K.: Qualitative Process Theory. Artificial Intelligence 51, 381–416 (1984)
Bobrow, D.: Qualitative Reasoning about Physical systems. The MIT Press, Cambridge (1985)
Kim, H., Kim, S., Kim, M.: Conceptual Modeling for Incineration Process. In: 4th International Conference on Cumbustion, incineration/Pyrolysis and Emission Control, pp. 117–120 (2006)
JADE, Java Agent Development Framework, http://jade.tilab.com/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, HK., Kim, S. (2009). Multi-agent Based Incineration Process Control System with Qualitative Model. In: Ghose, A., Governatori, G., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2007. Lecture Notes in Computer Science(), vol 5044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01639-4_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-01639-4_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01638-7
Online ISBN: 978-3-642-01639-4
eBook Packages: Computer ScienceComputer Science (R0)