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    <title>modelling</title>
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      <title>Modelling in Systems Biology : An analysis of the Relevance of Rosen's Relational Viewpoint for Current Systems Biology</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2639</link>
      <description>Systems Biology aims to take up the challenge of the post-genome era by developing means to handle the data flood in the contemporary 'omic' sciences. One of the challenges is to 'turn data into knowledge', which gives rise to the question of the functional meaning of the structural data. Systems Biology tries to answer this question by capturing the organisation of a biological system through mathematical and computational modelling. In this regard, however, there is some ambiguity concerning the notions of function, wholeness and system. In this paper, we intend to discuss this ambiguity by analysing the status of modelling in Systems Biology. We do so by articulating the source of the tensions between a relational and a mechanistic approach of living systems, and will inquire upon the potential relevance of a relational account for current Systems Biology. We draw upon Robert Rosen's relational account, in which functionality is an intrinsic and essential part of the organisation of a living system. An organism is complex, e.g. not amenable to a mechanistic, classical or engineering analysis. In this viewpoint, which is quite similar to Kant's, functionality has to be presupposed in order to 'save' the organism as a living system, It is the status of this presupposition that qualitatively distinguishes a mechanistic from a relational account, and it is the potentiality of that idea which deserves further investigation in current Systems Biology. </description>
      <pubDate>Thu, 29 Aug 2024 15:33:42 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:05:18 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2639</guid>
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      <title>The Readiness is all ? Closure Remarks on the Psychotic Anticipatory Experience of Time and Space</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3775</link>
      <description>In this roundup paper we give an overview of the research we have done so far regarding the idea of anticipation and psychotic experience. Starting off from the status quaestionis in psychiatry, psychotherapy and philosophy regarding the psychotic experience as a disorder of reality we bring together three different viewpoints: the objectivist, the subjectivist and the existentialist. We illustrate how all three perspectives are unable to provide with a definite description of what psychosis really is, let alone prove fruitful for a causal model towards explaining psychosis. We show how the anticipatory model we have worked out (boundary, context, organisation, hierarchy) brings all three fields of enquiry together in a synergetic model with clinical, ethical and theoretical benefits. </description>
      <pubDate>Mon, 30 Sep 2024 14:08:38 +0200</pubDate>
      <lastBuildDate>Mon, 30 Sep 2024 14:08:51 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3775</guid>
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      <title>Towards Transparent Control of Large and Complex Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3654</link>
      <description>We first discuss the importance of making a controller interpretable and give an overview of the existing models and structures for that purpose. We then propose an approach to designing fuzzy controllers based on the B-spline model by learning. Unlike other normalised parametrised set functions for defining fuzzy sets, B-splines do not necessarily span membership values from zero to one but possess the property of &quot;partition of unity&quot;. B-splines can be automatically determined after each input is partitioned. Learning of a fuzzy controller based on B-splines is then equivalent to the adaptation of a B-spline interpolator. Parameters of the controller output of each rule can be rapidly adapted by gradient descent. Optimal placements of the non-uniform B-splines for specifying each input can be found by Genetic Algorithms. Through comparative examples of function approximation we show that training of such a fuzzy controller generally provides results with minimal error. The approach can be extended to the problems of high-dimensional input by combining neural networks with a fuzzy control model. </description>
      <pubDate>Thu, 26 Sep 2024 10:31:08 +0200</pubDate>
      <lastBuildDate>Thu, 26 Sep 2024 10:31:30 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3654</guid>
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      <title>Intelligent Buildings as Distributed Information Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3295</link>
      <description>Intelligent building it is intelligence subsystems connected by information interfaces. In paper is introduction of a concept and structure of distributed &quot;intelligence&quot; in buildings. The structure of the intelligent building is presented as partly integrated and the full integrated. Integrated Functional Systems were showed. Models of this system are key factor for design and optimization new information structure in intelligence buildings. </description>
      <pubDate>Fri, 13 Sep 2024 15:13:03 +0200</pubDate>
      <lastBuildDate>Fri, 13 Sep 2024 15:13:09 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3295</guid>
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    <item>
      <title>ACADA, An Anticipatory Design Approach</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2288</link>
      <description>System design is still challenging human mental and intellectual capacity. Consequently system design projects often fail. At the same time, anticipation and the anticipatory paradigm are not used in the multiplicity of design methods at hand. As a remedy, the ACADA (Anticipatory Computer Aided Design Approach) is proposed to be added to the methods repertoire. With ACADA it will be possible to test and verify the design before its implementation. ACADA builds on anticipatory modelling and computing in a formal (algorithmic) computer aided system followed by an association from the formal system and its parameters to the concrete living system, i.e. the Human Activity System (HAS) in focus. This way of intervening into living systems, or designing HAS, represents a new application of anticipatory theory, method, and tecbnique. </description>
      <pubDate>Wed, 31 Jul 2024 12:40:51 +0200</pubDate>
      <lastBuildDate>Wed, 31 Jul 2024 12:40:59 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2288</guid>
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      <title>Telematic Transport System Model</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2233</link>
      <description>The present model contains vehicles traffic simulation at specified highway sector equipped with telematic infrastructure. In section 2, inside the transport system two subsystems are specified : the subsystem of transport processes as highway vehicles traffic and the subsystem of telematic tools affecting on transport processes. In section 3 there is presented modelling in Simulink module by library elements. Inside state diagrams, earlier defined objects represent model elements : highway sectors, vehicles, telematic tools. Inside section 4, the simulation of vehicle traffic in model is described as well as telematic tools interaction with these vehicles traffic. The effect of present work is the base to real time modeling methodology addressed to multimodal transport systems, especially railway transport usage. </description>
      <pubDate>Tue, 30 Jul 2024 15:19:25 +0200</pubDate>
      <lastBuildDate>Tue, 30 Jul 2024 15:19:32 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2233</guid>
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