@inproceedings{YamabeKawamuraTani2004,
  author    = {Yamabe, Yuichiro and Kawamura, Hiroshi and Tani, Akinori},
  title     = {Optimal Design for Recurrent Architecture Network Harmonized with Circulation-type Societies by Applying Genetic Algorithms to Multiagent Model},
  doi       = {10.25643/bauhaus-universitaet.189},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1892},
  year      = {2004},
  abstract  = {In this paper, a circulation-type society is expressed by recurrent architecture network described with multi-agent model which consists of the following agents: user, builder, reuse maker, fabricator, waste disposer, material maker and earth bank (see Fig.1). Structural members, materials, resources and monies move among these agents. Each agent has its own rules and aims, regarding structural damages, lifetime, cost reduction, numbers of structural members and structural systems. Reasonable prices of members (fresh, reused, recycled and disposed) can be optimized by GAs in this system considering equal distribution of monies among agents.},
  subject      = {Mehragentensystem},
  language  = {en}
}
@inproceedings{TsutsumiHashimoto2004,
  author    = {Tsutsumi, Kazutoshi and Hashimoto, Hiromi},
  title     = {A Development of the Building Kansei Information Retrieval System},
  doi       = {10.25643/bauhaus-universitaet.188},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1884},
  year      = {2004},
  abstract  = {The purpose of this research is to develop the method to retrieve a building name from the impression of the building. First, the images of the building are registered as database by the questionnaire. Next, the images of the objective building are compared with the degree of matching in image databases, and the building with high synthetic matching degree is retrieved. This system could get a good retrieval result. Moreover, image processing was done, and image databases are trained by neural network from the amount of characteristics of the image, and the retrieval system by image processing was examined.},
  subject      = {Mehragentensystem},
  language  = {en}
}