Cliff Joslyn

Cliff Joslyn, 2006.

Cliff Joslyn (born 1963) is an American cognitive scientist, cyberneticist, and currently Chief Scientist for Knowledge Sciences at the Pacific Northwest National Laboratory in Seattle, Washington, USA.

Biography

Cliff Joslyn studied at Oberlin College and received a BA in Cognitive Science Mathematics, with High Honors in Cybernetics, in 1985. In 1987 he continued at the State University of New York at Binghamton, where in 1989 he received an MS in Systems Science, and in 1994 under George Klir received a PhD in Systems Science with the thesis "Possibilistic Processes for Complex Systems Modeling".

From 1994 to 1996 he was an NRC Research Associate at NASA Goddard Space Flight Center. From 1996 to 2007 he was team leader at Los Alamos National Laboratory, where he led the Knowledge and Information Systems Science research team in the Modeling, Algorithms and Informatics (CCS-3) Group of the Computer, Computational, and Statistical Sciences Division. Since 2007 he is Chief Scientist for Knowledge Sciences [1] at the Pacific Northwest National Laboratory in Richland, Washington, moving to their Seattle office in 2009.

Joslyn is on the editorial boards of the "International Journal of General Systems" and "Biosemiotics".

In 1991 Joslyn was awarded the Sir Geoffrey Vickers' Award for Best Student Paper from the International Society for the Systems Sciences. In 1997 he received the Distinguished Performance Award: A Large Team Award for IRS Fraud Detection Projects, Los Alamos National Laboratory.[2]

Work

Joslyn's research interests extend from "order theoretical approaches to knowledge discovery and database analysis to include computational semiotics, qualitative modeling, and generalized information theory, with applications in computational biology, infrastructure protection, homeland defense, intelligence analysis, and defense transformation".[1]

Principia Cybernetica

Principia Cybernetica is an international organization in the field of cybernetics and systems science focused on the collaborative development of a "computer-supported evolutionary-systemic philosophy in the context of the transdisciplinary academic fields of Systems Science and Cybernetics".[3]

The organisation was initiated in 1989 by Joslyn, Valentin Turchin of the City College of New York, and Francis Heylighen from the Vrije Universiteit Brussel in Belgium. These three scientists managed the project and worked together in an editorial board,[4] which manages the collection, selection and development of the material, and the implementation of the computer system.

Knowledge and Information Systems Science

At Los Alamos Joslyn and his Knowledge and Information Systems Science team performed scientific research in "computational methods for the extraction, representation, organization, synthesis, discovery, and retrieval of knowledge in databases and information systems. They especially emphasize methods for representing semantic information, and hybrid methodologies combining statistical, numerical, and quantitative with symbolic, logical, and qualitative techniques".[5]

A primary application area is computational biology, and thus they had a close working relationship with the Computational Biology and Bioinformatics team. Other application areas include homeland defense, critical infrastructure protection, intelligence analysis, decision support environments, risk and reliability analysis, and defense transformation.[5]

Publications

Joslyn has published numerous papars, articles and book chapters. a selection:[6][7]

See also

References

  1. 1 2 Cliff Joslyn at the Pacific Northwest National Laboratory Accessed May 23, 2015.
  2. ↑ Cliff Joslyn Curriculum Vitae Updated July, 2006. Accessed May 29, 2009.
  3. ↑ Principia Cybernetica Masthead Principia Cybernetica Web
  4. ↑ Editorial Board Principia Cybernetica Web
  5. 1 2 Knowledge and Information Systems Science Team. Accessed May 29, 2009.
  6. ↑ Cliff Joslyn Publications Updated July, 2006. Accessed May 29, 2009.
  7. ↑ Cliff Joslyn List of publications from the DBLP Bibliography Server. Accessed May 29, 2009.

External links


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