http://popups.lib.uliege.be/1373-5411/index.php?id=2041 Publications of Auteurs Ivan Křivỳ fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=2686 The authors implemented simulation models of anticipatory systems and a translator that converts models of conventional (non-anticipatory) systems into those of anticipatory systems in the weak sense. The systematic algorithmization leads the authors to recognizing some formal properties that could be viewed in a rather natural way for the anticipatory systems in the weak sense and that could be automatically converted into simulation models implemented on computer. The formal properties, i.e. certain concepts of system analysis and their professional names are presented in this paper. Fri, 30 Aug 2024 10:43:52 +0200 Fri, 30 Aug 2024 10:44:14 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2686 http://popups.lib.uliege.be/1373-5411/index.php?id=2597 This paper deals with anticipatory systems and their use when describing the population dynamics of single species discrete systems. In doing so, it starts from Rosen's original definition of anticipatory system and its extending in the papers of Dubois. Then the concepts of incursion and hyperincursion are briefly explained and their applications to modeling discrete dynamic systems are outlined. A detailed analysis is given of the population model described by the first order difference equation, where the relative population size at future time is a cubic polynomial function of the population size at the present. Consequently, the corresponding in cursive and hyperincursive models are formulated and the stability of their equilibrium solutions (trajectories) is studied. Thu, 29 Aug 2024 14:55:46 +0200 Thu, 29 Aug 2024 14:55:54 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2597 http://popups.lib.uliege.be/1373-5411/index.php?id=2223 A part of the human society, which either designs or manages a patient-in-bed sector of a hospital is an anticipatory system. A modern way to manage is to use (simulation) models of the sector. The exact rules holding for such systems (called patients-in-bed systems - shortly PBS) are presented in a form of axioms and for the purpose of computer models in a form of classes common for the object-oriented paradigm(OOP). The classes were applied to implement simulation models Ma oriented to the design and Mb oriented to the operation of PBS. A synthesis of both the models was made so that Mb was nested in Ma. The reason for the synthesis and the ways to overcome the difficulties are described in the paper. The two ways for to overcome the difficulties discover two ways for viewing to the anticipatory abilities of PBS. Tue, 30 Jul 2024 15:03:07 +0200 Tue, 30 Jul 2024 15:03:14 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2223 http://popups.lib.uliege.be/1373-5411/index.php?id=2036 Two modes of weak anticipation are applied to production systems. When such a system is being designed both the modes interact. If simulation support is applied, the interaction causes that a system with simulating elements is simulated, i.e. one meets nesting simulation models. In other words, when we anticipate the system existence we should take into account the fact that anticipation will exist in the system during its operation stage. Although the essential problems related to the nesting of simulation models have been solved, some obstacles remain. They are rather of a psychological character and they can exist during the design of any system. For the branch of production systems, they are diminished by a simulation system REFLECTIVE QNOP, the principles of which are described in the present paper. Fri, 26 Jul 2024 15:31:18 +0200 Fri, 26 Jul 2024 15:31:30 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2036