Wolfram Willuhn

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We propose a model, inspired by recent artificial life theory, applied to the problem of retrieving information from a large, distributed collection of documents such as the World Wide Web. A population of agents is evolved under density dependent selection for the task of locating information for the user. The energy necessary for survival is obtained from(More)
Olof Henricsson, Frank Bignone, Wolfram Willuhn, Frank Ade, Olaf K ubler Emmanuel Baltsavias , Scott Mason , Armin Grun Communication Technology Laboratory Swiss Federal Institute of Technology (ETH) CH-8092 Zurich, Switzerland Institute of Geodesy and Photogrammetry Swiss Federal Institute of Technology (ETH) CH-8093 Zurich, Switzerland Commision III,(More)
Many approaches to image understanding and object recognition employ either a single model or more than one but only one for each level of processing and processing takes place unidirectionally either bottom-up or top-down, thus restricting the flow of information between models of neighboring level to a one-way. These approaches have their limits when(More)
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