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Adomi, M., Shikauchi, Y. and Ishii, S. (2010) Hidden Markov Model for Human Decision Process in a Partially Observable Environment. Proceedings of the 20th International Conference on Artificial Neural Networks, LNCS 6353, Thessaloniki, Greece, 15-18 September 2010, 94-103.
http://dx.doi.org/10.1007/978-3-642-15822-3_12

has been cited by the following article:

• TITLE: Verification of Real-Time Pricing Systems Based on Probabilistic Boolean Networks

  AUTHORS: Koichi Kobayashi, Kunihiko Hiraishi

  KEYWORDS: Model Checking, Probabilistic Boolean Networks, Real-Time Pricing

  JOURNAL NAME: Applied Mathematics, Vol.7 No.15, September 16, 2016

  ABSTRACT: In this paper, verification of real-time pricing systems of electricity is considered using a probabilistic Boolean network (PBN). In real-time pricing systems, electricity conservation is achieved by manipulating the electricity price at each time. A PBN is widely used as a model of complex systems, and is appropriate as a model of real-time pricing systems. Using the PBN-based model, real-time pricing systems can be quantitatively analyzed. In this paper, we propose a verification method of real-time pricing systems using the PBN-based model and the probabilistic model checker PRISM. First, the PBN-based model is derived. Next, the reachability problem, which is one of the typical verification problems, is formulated, and a solution method is derived. Finally, the effectiveness of the proposed method is presented by a numerical example.