(Technical Portion of NIMA Proposal) (e-mail Dr. Prueitt) (The Anticipatory Web)

 

 

 

Proposal Development and Status NIMA Proposal

 

on

 

Synthetic Perception of the Invariance and Events in Data

 

 

 

On September 14, 2002 we asked for scientific comment on the following, and comment by government program managers.

 

 

Comments on the review:

 

There are four areas of innovation. 

 

One innovation is an extension of Latent Semantic Indexing, as is pointed out and as two of the reviewers make note of.  Categorical abstraction is a generalization of LSI.  Moreover, the use of a visualization of Generalized LSI (G-LSI) as small Peircean logic atoms fits into a extensive literature on situational logics.  The scholarly background extends into the Russian applied semiotics literatures, which is clearly innovative and largely laying outside of the western approaches to Intelligent Control (as defined by Albus and Meystel at NIST). 

A second innovation is in the use of in-memory data structures that allow a convolution operator to pass quickly over massive data to actually produce the categorical abstraction that is then viewed.

 

A third innovation is in the interface between the "synthetic perception" of categorical invariance and a standard knowledge base such as the Cyc knowledge base. 

 

The SAIC/OntologyStream proposal was developed to reflect the BAA, and in the BAA there are five areas of focus. We where asked to not focus on all aspects under the BAA direction that a team would be put together.

 

For example, one corporation that was deemed fundable and then funded is Cyc Corp. They have an existing knowledge bases system of very high quality.  We anticipated that Cyc Corp or a similar knowledge base vendor will be selected and that we would be asked to provide interoperability between that knowledge base and the three innovations that we have. Had there no been anyone who was offering a knowledge base, then our advisor Dr. Richard Ballard was prepared to introduce the Mark 3 knowledge base.

 

It is made clear in the proposal that low level bit stream events are aggregated into intrusion events and that the intrusion events are aggregated into incidents and that incidents are compared with policy guidance. 

 

The clarity of the presentation rests on the notion of "stratified processes", and this is a forth basic innovation.  This innovation is grounded in the cognitive neuroscience that breaks into three layers of separated processes:

 

            Memory process of invariance extracted (convolved) from experience

 

            The non-equilibrium formation (emergence) of an autopoietic envelop as selective attention within awareness, and

 

            Anticipation that forms from the mapping of the environment of threats and vulnerabilities. 

This "tri-level" architecture for machine intelligence is the fifth area of innovation.  This is difficult to learn science, but then again the question we raise is about the government in-ability to fund this degree of innovation.  The case is made that without a breakthrough, that Predictive Analysis Methodology will be simply another branded term that is used to sell software and services to the government in this time of national crisis.

 

In our proposal, we have a deep grounding in the cognitive neurosciences, in theory of human perception and in human factors research communities.