Michael N. Huhns
 | The topic of this article may not meet Wikitia's general notability guideline. |
Michael N. Huhns | |
|---|---|
| Born | Detroit, Michigan, USA |
| Citizenship | USA |
| Alma mater | University of Southern California University of Michigan |
| Awards | IEEE Fellow (2005) AAAI Fellow (2014) ACM Senior Member (2006) IFAAMAS Influential Publication Prize (2009) |
| Scientific career | |
| Fields | Computer Science Artificial Intelligence Multiagent systems Electrical Engineering |
| Institutions | University of South Carolina Global Infotek, Inc. Microelectronics and Computer Technology Corporation |
| Thesis | Optimum Restoration of Quantized Correlated Signals (1975) |
| Doctoral advisor | Professor William K. Pratt |
Michael N. Huhns is a researcher and educator in computer science, computer engineering, and electrical engineering. During his career in these areas, from 1969 to the present, he served as a professor at the University of South Carolina (UofSC) and University of Texas, a senior research scientist at Microelectronics and Computer Technology Corporation, a department chair at UofSC, a research consultant at Global InfoTek Inc., the CEO of Intellitronics Inc., and an emeritus professor at UofSC..[1][2][3]
Education
Huhns received his B.S. in Electrical Engineering University of Michigan in 1969. He obtained an M.S. University of Southern California and a Ph.D. in Electrical Engineering University of Southern California in 1975 under the supervision of Dr. William K. Pratt.
Research
Huhns' research interests include multiagent systems, service-oriented architecture, software engineering, artificial intelligence, computer vision, and sociotechnical systems. The breadth of his research contributions in computing is depicted in the graphical ontology referenced in the sidebar.
His research accomplishments include the following books:
- Distributed Artificial Intelligence (1987) [4]
- Service-Oriented Computing: Semantics, Processes, Agents (2005)[5], together with Prof. Munindar P. Singh.
His work is grounded on four basic principles: (1) There is a power in explicit knowledge and logical reasoning, e.g., millions of data items might be compactly and more precisely expressed as one explicit equation and applied functionally[6] (2) There is a power in distribution, especially in processing at the edge occurs closer to data, can proceed in parallel, can be more resilient, and can be more robust, as described in his book on DAI [4] and in this 1983 patent for "Multiple-Microcomputer Processing" [7] (3) There is a power in exploiting the environment, where its inherent randomness can be an advantage in yielding more robust behaviors[8][9] (4) There is a power in exploiting collective thought and action[10] [11].
Awards
- 2005, IEEE Fellow for "contributions to artificial intelligence applications in distributed computational environments" [12]
- 2006, ACM (Association for Computing Machinery) Senior Member[13]
- 2009, IFAAMAS (International Foundation for Autonomous Agents and Multiagent Systems) Influential Publication Prize, for seminal contribution to distributed artificial intelligence[14]
- 2014, AAAI (Association for the Advancement of Artificial Intelligence) Fellow for "significant contributions to the field of multiagent systems and its application in information management and service-oriented computing."[15]
References
- ↑ "Our People - College of Engineering and Computing | University of South Carolina". www.sc.edu.
- ↑ "Michael N. Huhns - College of Engineering and Computing | University of South Carolina". www.sc.edu.
- ↑ "Prof. Michael N. Huhns - homepage". Retrieved 2026-05-27.
- ↑ 4.0 4.1 Huhns, Michael N. (1987). Distributed Artificial Intelligence. London, England: Pittman Publishing Ltd. ISBN 9780323137591.
- ↑ Singh, Munindar P.; Huhns, Michael N. (2005). Service-Oriented Computing: Semantics, Processes, Agents. West Sussex, England: John Wiley & Sons, Ltd. ISBN 9780470091487.
- ↑ Huhns, Michael N.; Valtorta, Marco G.; Wang, Jingsong (2010). "Design Principles for Ontological Support of Bayesian Evidence Management" (PDF). Ontologies and Semantic Technologies for Intelligence, Leo Obrst, Terry Janssen, and Werner Ceusters, Eds. Amsterdam, The Netherlands: IOS Press: 163–178.
- ↑ Charles F. Summer, Jr.; Robert O. Pettus; Ronald D. Bonnell; Michael N. Huhns; Larry M. Stephens (1983-11-08). "Multiple-Microcomputer Processing, US 4,414,624". Retrieved 2025-12-30.
- ↑ Glicoes, Larry; Staats, R.; Huhns, Michael N. (1996). "A Multiagent Environment for Department of Defense Distribution" (PDF). Adaption and Learning in Multiagent Systems, Gerhard Weiss and Sandip Sen, Editors. Berlin: Springer Verlag Lecture Notes in Artificial Intelligence. 1042: 53–84.
- ↑ Taveter, Kuldar; Du, Hongying; Huhns, Michael N. (August 2012). "Engineering societal information systems by agent-oriented modeling" (PDF). Journal of Ambient Intelligence and Smart Environments. 4 (3): 227–252. doi:10.3233/AIS-2012-0149.
- ↑ Huhns, Michael N. (May–June 2003). "Consensus Software: Robustness and Social Good". IEEE Internet Computing. 7 (3): 91–93.
- ↑ Wei; Huhns, Michael N.; Tsai, Wei-Tek; Wu, Wenjun (2015). Crowdsourcing - Cloud-Based Software Development. Berlin: Springer. ISBN 978-3-662-47011-4.
- ↑ "IEEE Fellows Directory - Alphabetical Listing". services27.ieee.org.
- ↑ "ACM Senior Members". awards.acm.org. Retrieved 2026-06-10.
- ↑ "IFAAMAS Influential Paper Award". Retrieved 2025-12-30.
- ↑ "Elected AAAI Fellows". www.aaai.org.
External links
This article "Michael N. Huhns" is from Wikipedia. The list of its authors can be seen in its historical. Articles taken from Draft Namespace on Wikipedia could be accessed on Wikipedia's Draft Namespace.