AGI 2010 Demonstration Form
Complete and Return to achler@gmail.com by January 15

First Name

Last Name

Email

Phone	

Institution or Company

Position

Education


Briefly describe the demonstration. What is the system?  What will the audience see?


			
Describe the system's relevance to the AGI community.



How much computational resources are required?



Notes, Comments or Suggestions



Evaluating General Intelligence

The goal of the following experimental section is to quantify general intelligence applicability based on: the extent and coverage of learning-setup compared to the number of untrained or novel scenarios the method is applicable.  Some systems may encompass machine learning methods while others employ ontology rules.  Others may follow completely different paradigms.  Please answer the questions as best applicable.

Required resources for the system (estimate of degrees of freedom).  How many training examples, variable parameters, or ontology rules were required to implement this system?  



What (and how many) scenarios can the demonstration capture without retraining or rewriting new rules, adjusting parameters and so on?



Questions?
Email achler@gmail.com