3D Archaeological Reconstruction and Visualisation: An Artificial Life Model for Determining Vegetation Dispersal Patterns in Ancient Landscapes

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Authors
Ch'ng, Eugene
Stone, Robert J.
Issue Date
2006

Metadata
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Other Titles
IEEE Computer Society (2006) Proceedings
Abstract
This paper describes a methodology and software engine for generating dynamic vegetation models for archaeological reconstruction and interactive visualisation, integrating the disciplines of Artificial Life (Alife) and Virtual Reality. The engine, based on the concept of emergence (a phenomenon in complex Alife systems), uses real botanical parameters, channelled through simple rules, in order to synthesise the dispersal patterns of natural vegetation communities as they grow, reproduce, and compete for resources. The foci for the development and evaluation of the Alife engine described relate to different scenarios in nature as may have existed during the Mesolithic period. Results from the study showed evidence of correlations between the artificial vegetation and their natural counterparts, demonstrating the feasibility of using such models in historical landscape reconstructions.
Citation
In: IEEE Computer Society Proceedings: Computer Graphics, Imaging and Vision, CGiV'06: July 25, 2006, Sydney, Australia, pp. 25-28.
Publisher
IEEE
URI
http://hdl.handle.net/2436/34552
DOI
10.1109/CGIV.2006.2
Additional Links
http://www.wlv.ac.uk/Default.aspx?page=16123
http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.2
Type
Meetings & Proceedings
Language
en
Description
Continuing work on the integration of Artificial Life and Virtual Reality tools to visualize the submerged Shotton River, Ch’ng and Stone developed an engine, based on the concept of emergence (a phenomenon in complex alife systems). Using real botanical parameters, channelled through simple rules it was possible to synthesise the dispersal patterns of natural vegetation communities. The focus in this paper was on modelling growth, reproduction, and competition for resources. Correlations between the artificial vegetation and natural counterparts, would demonstrate the feasibility of using such models in historical landscape reconstructions.
ISBN
0-7695-2606-3
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