Repast Implementation on Google App Engine
is an Agent Based Modeling environment available as open source Java/Groovy code. It has more then 10 years of application history in social science, supply chains and many other domains. Rapast Simphony
can run on workstations and small computing clusters. Motivation for implementation on Google App Engine is to use Googles scalable infrastructure to dynamically scale up the number of agents and to integrate the web (user) just like artificial agents. The result could become a platform for massive multi user games or simulation of social behavior.
Predictive Analytics Edition
This is a demo of the ADAPA Predictive Analytics Edition, a decision engine which lets you upload and execute predictive models in PMML 3.2 format. ADAPA executes neural networks, support vector machines, and statistical algorithms. It is a highly scalable scoring engine which leverages Amazon's Elastic Compute Cloud (EC2).
Converter for the Predictive Modeling Markup Language (PMML) which is supported by various statistical tools. It allows you to transform your predictive model from older PMML formats to the latest PMML 3.2 standard. To execute your model, try our ADAPA Predictive Analytics scoring engine, also available as an iGoogle Gadget