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TZUNTIL:20160327T010000Z
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DTSTART:20131027T030000
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RDATE:20141026T030000
RDATE:20151025T030000
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DTSTAMP:20260404T071404Z
DESCRIPTION:One strategy of mathematization aims at transforming complex ph
 enomena into an idealized setting thus reducing complexity. With simulatio
 n this strategy is getting into troubles when the models themselves are be
 coming complex and receive a partial autonomy. They show a rich dynamics t
 hat is (to an important degree) not derived from theories that go into the
 se models\, rather this dynamics is based on the conditions of model const
 ruction. In particular\, the process of simulation modeling significantly 
 differs from traditional mathematical modeling. This difference is relevan
 t from a philosophical point of view because mathematical models constitut
 e the backdrop of much of modern sciences. The following features of simul
 ation modeling will be discussed: artificiality and experimenting\, visual
 ization\, plasticity\, and epistemic opacity. These features\, it will be 
 argued\, characterize simulation modeling as a new type of mathematical mo
 deling. The conclusion will be split: Simulation modeling opens up new opt
 ions for intervening in complex situations\, but - on the other side - the
  explanatory force of these models is called into question. Mathematical m
 odeling\, seen as a human activity to gain knowledge\, acquires a somewhat
  more technical or artisan flavor: Theory and technology are intertwined i
 n computer modeling - natural sciences and engineering sciences seem to co
 nverge.\n \n***\nInvited by Michael Hauhs\, Ecological Modelling
DTSTART;TZID=Europe/Berlin:20140703T000000
DTEND;TZID=Europe/Berlin:20140703T235959
SUMMARY:PD Dr. Johannes Lenhard\, Department of Philosophy\, Bielefeld Univ
 ersity (Homepage): Calculated Surprises: On the Philosophy of Computer Sim
 ulation
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