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AIM! Algorithmic Information Modeling: New Strategies for a Fully Integrated Approach in the Field of Cultural Heritage

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From Building Information Modelling to Mixed Reality

Abstract

Algorithmic Information Modelling (AIM) is an acronym that can be used to discuss and reason on the relationship between algorithms used in Visual Programming Language (VPL) platforms and the Information Modelling processes. In the Architecture, Engineering and Construction fields (AEC) the data management related to those processes are more usually managed through BIM tools able to handle heterogeneous data set characterized by different disciplines domains. The use of BIM processes applied to historic buildings (HBIM) moreover introduces new needs for the management of 3D information modelling. The research critically investigates some case studies concerning the relationship between the use of BIM processes applied to different architectural heritage fields, from the (virtual) reconstruction of existing buildings to the improvement of the efficiency of design activities for management applications. Most of the activities involved researchers of the Representation field, jointly with the Restoration, Geomatics, Building Physics, Architectural Technology researchers.

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Acknowledgment

Although the contribution was conceived jointly, Massimiliano lo Turco is author of paragraphs 2, 3.1 and 5; Michele Calvano of paragraphs 1 and 4.2; Elisabetta C. Giovannini of paragraph 3.2 and Andrea Tomalini is author of paragraph 4.1.

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Correspondence to Andrea Tomalini .

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Lo Turco, M., Calvano, M., Giovannini, E.C., Tomalini, A. (2021). AIM! Algorithmic Information Modeling: New Strategies for a Fully Integrated Approach in the Field of Cultural Heritage. In: Bolognesi, C., Villa, D. (eds) From Building Information Modelling to Mixed Reality. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-030-49278-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-49278-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49277-9

  • Online ISBN: 978-3-030-49278-6

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