@article{GasparyanVitusevichOffenhaeusseretal.2011,
  author    = {Gasparyan, F.V. and Vitusevich, S.A. and Offenh{\"a}usser, A. and Sch{\"o}ning, Michael Josef},
  title     = {Modified charge fluctuation noise model for electrolyte-insulator-semiconductor devices},
  series = {Modern Physics Letters B (MPLB). 25 (2011), H. 11},
  journal   = {Modern Physics Letters B (MPLB). 25 (2011), H. 11},
  publisher = {World Scientific Publ.},
  address   = {Singapur},
  isbn      = {0217-9849},
  pages     = {831 -- 840},
  year      = {2011},
  language  = {en}
}
@article{Staat2013,
  author    = {Staat, Manfred},
  title     = {Limit and shakedown analysis under uncertainty},
  series = {International journal of computational methods : IJCM},
  journal   = {International journal of computational methods : IJCM},
  publisher = {World Scientific Publishing},
  address   = {Singapore},
  issn      = {0219-8762},
  pages     = {Publ. online},
  year      = {2013},
  language  = {en}
}
@article{SchifferFerrein2016,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {Decision-Theoretic Planning with Fuzzy Notions in GOLOG},
  series = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  volume    = {24},
  journal   = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  number    = {Issue Suppl. 2},
  publisher = {World Scientific},
  address   = {Singapur},
  issn      = {1793-6411},
  doi       = {10.1142/S0218488516400134},
  pages     = {123 -- 143},
  year      = {2016},
  abstract  = {In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog's forward-search DT planning algorithm, these formulas are evaluated in order to find the agent's optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.},
  language  = {en}
}
@article{MaurischatPerkins2020,
  author    = {Maurischat, Andreas and Perkins, Rudolph},
  title     = {Taylor coefficients of Anderson generating functions and Drinfeld torsion extensions},
  number    = {Vol. 18, No. 01},
  publisher = {World Scientific},
  address   = {Singapur},
  doi       = {10.1142/S1793042122500099},
  pages     = {113 -- 130},
  year      = {2020},
  abstract  = {We generalize our work on Carlitz prime power torsion extension to torsion extensions of Drinfeld modules of arbitrary rank. As in the Carlitz case, we give a description of these extensions in terms of evaluations of Anderson generating functions and their hyperderivatives at roots of unity. We also give a direct proof that the image of the Galois representation attached to the p-adic Tate module lies in the p-adic points of the motivic Galois group. This is a generalization of the corresponding result of Chang and Papanikolas for the t-adic case.},
  language  = {en}
}