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| ENVI0827-1

 | Introduction to Anticipative Systems in Environment Management

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| Duration : | 15h Th, 15h Pr | |
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| Holder(s) : | N... | |
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| Substitute(s) : | Daniel Dubois | |
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| Course contents :
| This course is an introduction to the anticipatory systems of management of the environment. In a first part, fundamental concepts on the models used in ecology are recalled: equation of Pearl-Verhulst, prey-predator equations of Lotka-Volterra, theory of deterministic chaos, etc. In the second part, the concepts of weak and strong anticipation are defined for discrete sytems and functional systems. An anticipatory system is a system whose current state depends on its past, present and future states. Anticipation is strong when the future is determined by the system itself and anticipation is weak when the future is approximated by a model of the system. Various methods are presented to include the future in the description of systems. In the third part, one developes applications related to anticipatory synchronization and predictive control, for example, the anticipatory control of a waste treatment plant. | |
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| Course objective :
| The objective of the course is triple: 1. To show that anticipation is a fundamental concept in the decision-making; 2. To describe methods to include anticipation in systems; 3. To show applications of anticipatory models of management relating to the management of the environment. | |
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| Prerequisites :
| No prerequisites. | |
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| Workshops :
| A personal work will be requested from the student. | |
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| Organization :
| Ex-cathedra lectures | |
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| Written notes :
| Syllabi will be available on the virtual campus: http://campus.hec.ulg.ac.be (http://campus.hec.ulg.ac.be/) | |
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| Assessment :
| The evaluation is based on the personal work completed by the student and on the final written report. | |
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| Contacts :
| Daniel Dubois, Chargé de Cours HEC-ULg,
Daniel.Dubois@ulg.ac.be
GSM 04 95 510 419 Office 025, Institut de Mathématique, B37, Parking 32, Grande Traverse 12, B-4000 Liège 1 (Sart Tilman) | |
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