A conceptual definition of a holonic processing framework to support the design of information fusion systems |
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| Affiliation: | 1. Image & Information Processing Department (iTi), TELECOM-Bretagne/Institut TELECOM, Technopôle Brest Iroise CS 83818, 29238 Brest Cedex, France;2. Computer Sciences and Software Engineering Dept., Université Laval, 1065, Av. de la Médecine, Québec, QC G1V 0A6, Canada;3. Defence Research & Development Canada Valcartier, 2459 Route de la Bravoure, Québec, QC G3J 1X5, Canada;4. Thales Canada, Defence & Security, 1405 Bd. Du Parc-Technologique, Québec, QC GIP 4P5, Canada;1. Department of Anesthesiology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People''s Hospital, Shenzhen, Guangdong, China;2. Department of Psychology, PO Box 400400, University of Virginia, Charlottesville, VA, 22904-4400, United States;3. Department of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China;1. Department of Automation & Systems Technology, Aalto University, FI-00076 AALTO, Espoo, Finland;2. School of Mechanical, Industrial, & Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331, USA;1. Laboratory of Cancer Genetics and Gene Transfer, Core Research Laboratory–Istituto Toscano Tumori, Azienda Ospedaliero–Universitaria Careggi, Florence, Italy;2. Cellular Transplantation Biology, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan;3. Hematology, Azienda Ospedaliero–Universitaria Careggi, Florence, Italy;4. Istituto Toscano Tumori, Florence, Italy;5. Department of Haematology, Muhimbili University for Health and Allied Sciences/Muhimbili National Hospital, Dar-es-Salaam, Tanzania;1. College of Pharmacy, Xinjiang Medical University, Urumqi 830011, China;2. State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China;1. School of Engineering and Information Technology, University of New South Wales, Canberra 2600, Australia;2. Zagazig University, Zagazig, Egypt |
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| Abstract: | This paper proposes a conceptual definition of an information fusion (IF) processing framework. Several concepts borrowed from complex systems theory, informational philosophy and computer sciences have been integrated to conceptualize that framework. The concepts of holon and informon developed by Koestler, Sulis, Alonso, Paggi et al. are exploited here to develop an information fusion processing framework. The proposed functional holonic structure is suitable for processing any level of information abstraction of the Joint Directors of Laboratory (JDL) data fusion model. The framework comprises the characterization of a basic element of information and the definition of an IF cell as a basic IF system unit to achieve fusion of information. The framework advocates a goal-driven approach with notions coming from business sciences to take into account quality of information for managing the fusion process. The framework is illustrated through several examples namely with an elaborated case in remote sensing. |
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| Keywords: | Information fusion Holons/Informons Archetypal dynamics Quality of information Cyber physical systems |
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