Qué hacer con un modelo arqueológico virtual. Aplicaciones de la inteligencia artificial en visualización científica.

Juan Anton Barceló

Spain

Universitat Autònoma de Barcelona

Oriol Vicente

Spain

Universitat Autònoma de Barcelona

|

Accepted: 2016-01-14

|

Published: 2011-05-20

DOI: https://doi.org/10.4995/var.2011.4551
Funding Data

Downloads

Keywords:

Archaeology, Visualization, Artificial intelligence, Simulation

Supporting agencies:

This research was not funded

Abstract:

For years, artists have collaborated with archaeologists in order to “reconstruct” all those ancient things not preserved in the archaeological record, and they have provided archaeologists with artistic depictions of the past. Regrettably, modern “computer visualizations” do not modify this attitude. There are thousands of “computer reconstructions” of ancient monuments and prehistoric objects available today, but most of them are absolutely useless. Alternatively, we propose a different approach where computer visualization is defined as the automatic logical deduction of visual properties of three-dimensional objects instrumentally acquired. A general framework inspired in modern artificial intelligence is here proponed.

Show more Show less

References:

BARCELO, J.A., 2008, Computational Intelligence in Archaeology. Information Science Reference, The IGI Group, Henshey (VA).

BICICI, E. ST. AMANT, R. 2003, Reasoning about the Functionality of Tools and Physical Artifacts. Technical Report TR-2003-22, Department of Computer Science, North Carolina State University.

DAWSON, M.R.W., 2004, Minds and Machines. Connectionism and Psychological Modeling. Blackwell Pub. London. http://dx.doi.org/10.1002/9780470752999

CHAIGNEAU,S.E., BARSALOU,L.W. SLOMAN, A. 2004, “Assessing the Causal Structure of Function” Journal of Experimental Psychology: General, 133, (4), pp. 601–625. http://dx.doi.org/10.1037/0096-3445.133.4.601

GIBSON, J.J., 1979, The Ecological Approach to Visual Perception. Mifflin, Boston.

JONES, T., 2007, Artificial Intelligence: A Systems Approach. Infinity Science Press, Hingham (MA).

MUNAKATA, T., 2008, Fundamentals of the New Artificial Intelligence. Springer, Berlin. https://doi.org/10.1007/978-1-84628-839-5

Show more Show less