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    <title>spatial decision support</title>
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      <title>New Approaches to Soft Anticipatory Design for Spatial Decision Support System</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3131</link>
      <description>The human management of geographical space is far from perfect. Factors that aggravate the situation may be found in the planning and decision support systems applied for managing decisions and actions concerning geographical space. A majority of those support systems are based on the reactive paradigm (Rosen, 1985) and the classical two-valued logic of an abstracted and idealised world (Kosko, 1993). So far, modern research in anticipatory computing, fuzzy logic and soft systems design unfortunately has not, to any significant extent, been applied in geographical management systems. The purpose of the work, reported in this paper, is to present some ideas {br a model for management of common regional resources, based on anticipation, soft systems design and systemic spatial modelling. </description>
      <pubDate>Mon, 09 Sep 2024 11:10:47 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:25:03 +0200</lastBuildDate>
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    <item>
      <title>Soft Anticipatory Computing for Spatial Decision Support</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3137</link>
      <description>Geographical space is modelled according to main principles of systemic modelling and the anticipatory paradigm. ln this way a computer based prototype supporting spatial decisions and the management of the physical environment is established. In using the prototype with real world historical data it is demonstrated that an anticipatory approach may ameliorate spatial planning and decision making. However, before being fully operational the model has to be improved in several ways. Further, attitudes, insights, and working skills of the physical planners and decision-makers have to be improved in order to take full advantage of the anticipatory approach. </description>
      <pubDate>Mon, 09 Sep 2024 11:37:20 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 15:22:42 +0200</lastBuildDate>
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