Visualizing Personalized Views in Virtual Museum Tours

We propose a multi-agent adaptive system to support tours of virtual museums. The system stores userspsila personalized views in zz-structures, particular data structures capable of representing both hypertext information and contextual interconnections among different information. We present an extension of the standard zz-structure model in terms of computational agents. These agents cooperate and collaborate in order to help users visualizing their personalized views. The power of this new model resides in the (partially limited) level of freedom users have for the dynamical choice, based on some present interest or necessity, of their navigational path inside the virtual museum.