TAME

  • Authors:
  • Hans Schlenker;Hans-Joachim Goltz;Joerg-Wilhelm Oestmann

  • Affiliations:
  • -;-;-

  • Venue:
  • AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
  • Year:
  • 2001

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Abstract

Personnel planning in academic medical departments has to be extremely sophisticated to mobilize all reserves and arrange them in a fashion that permits sufficient and cohesive times for academic activities. We use Constraint Satisfaction in order to cope with problem structure on the one hand and problem complexity on the other. TAME, the current prototype for doing assistant planning, generates optimal plans within seconds of computing time.