The “Memory Association Machine” is a site-specific responsive installation inspired by cognitive processes in the series of “Context Machines” (Bogart, 2011, 2013). The artist provides a mechanism that allows the structure of the artwork to change in response to continuous stimulus from its context. Context is defined as those parameters of the environment that are perceivable by the system and make its place in space and time unique. “Memory Association Machine” relates itself to its context using three primary processes: perception, the integration of sensor data into a field of experience, and the free-association through that field. “Memory Association Machine” perceives through a video camera, integrates using a Kohonen Self-Organizing Map, and free-associates through an implementation of Liane M. Gabora’s model of memory and creativity.
Presentation: Click here to view the presentation.
Papers & Posters:
- Bogart, B. & Schiphorst, T. (2009). “Memory Association Machine: Growing Form from Context” Pure-Data Convention Proceedings, Sao Paulo, Brazil. [View PDF]
- Bogart, B. (2008). “Memory Association Machine: An Account of the Realization and Interpretation of an Autonomous Responsive Site-Specific Artwork” Master of Science Thesis, Simon Fraser University, Vancouver, Canada. [View PDF]
- Bogart, B. (2009). “Memory Association Machine” Handbook of Research on Computational Arts and Creative Informatics, Information Science Reference, Chapter XIII: 213-232. [View PDF]
- Bogart, B. D. R., & Pasquier, P. (2011). Context Machines: A series of autonomous self-organizing site-specific artworks. In Proceedings of the 17th International Symposium on Electronic Art (ISEA) 2011, Sabanci University, Istanbul, Turkey. Retrieved from http://isea2011.sabanciuniv.edu/paper/context-machines-series-autonomous-self-organizing-site-specific-artworks
- Bogart, B. D. R., & Pasquier, P. (2013). Context Machines: A series of situated and self-organizing artworks. Leonardo, 46(2), 114–122.
Website: Memory Association Machine.