Welcome to the Archaeological Autoclassification System
The SIGGI – AACS project is a prototype of an expert system for the
identification of archaeological materials. To test the validity of the
concept, projectile points were selected as the initial type of object to
identify. To generate classifications SIGGI, the computerized agent, utilizes
an artificial neural network that has been trained to identify projectile point
types from 4 distinct regional typologies:
- Columbia Plateau
- Upper Snake River Basin
- Northwest Plains
- ANTH 582
Almost as important as the actual identification of the archaeological
materials is the user interface developed for the interactions between the
computer and the user. A set of interfaces have been designed for varying
levels of users ranging from the general public to dedicated research
professionals.
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If you have questions, or a desire to help with the development of this project, please send an e-mail to:
Skip Lohse
Director of the Center for Innovative Technology In Archeological Informatics
Visit the CITI-AI site