EECS Publication
Accomplishments and New Directions for 2004: Progress on Universally Programmable Intelligent Matter - UPIM Report 10
Bruce J. MacLennan
We summarize progress to date on 'universally programmable intelligence matter' (the use of general-purpose autonomous molecular computation [AMC] for nanostructure synthesis and control), and on this basis discuss directions for future research. Accomplishments include an analysis of extensions to combinatory logic required for nanotechnology and an investigation (through simulation) of the assembly of a variety of membranes, nanotubes, pores, channels, actuators, and other important structures. We also outline the requirements and possible solutions for molecular implementation of this computational model. In addition to discussing the successes and limitations of molecular combinatory computing, the approach that has been investigated to date, we also suggest an alternative approach to AMC that may be more suitable for nanotechnology due to its greater insensitivity to error and stochastic effects.
Published 2004-10-15 04:00:00 as ut-cs-04-532 (ID:193)