Ideas by Statistical Mechanics (ISM) integrates previous projects to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions.

Clearly, this project uses some specialized exprtise, and clearly it likely is only appropriate to some issues in Market Intelligence, e.g., those those require information flow in aggreated populations.

However, the intuition behind the approach is, I believe, quite natural. While the actual computational algorithms are the product of a lot of math-physics study, the basic model seems sensible: It seems appropriate to base an approach for propagation of ideas on the only system so far demonstrated to develop and nurture ideas, i.e., the neocortical brain. The methodology for the application follows that used nowadays in financial markets: The concept of Training, Testing and Real Time application of pattern-recognition tools on stochastic data seem natural. New ideas in risk-management — the application of modern copula analysis to properley handle correlated variables (whose distributions likely are not Gaussian) seems essential.

Right now, the next step in this project is to do some testing on realistic data. I require some specific focus to do decent tests, and this will require that I have access to expert analysts who can direct me to good data and required objectives that might take advantage of my approach. I believe that this is *the* important first step towards developing a viable product.

Link to .pdf document:
http://www.markintell.com/storage/lester-ingber/smni06_ism.pdf

Lester