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COMMERCE BUSINESS DAILY ISSUE OF FEBRUARY 25,2000 PSA#2544Bid Office, SPAWARSYSCEN, Code D21B, 53570 Silvergate Avenue, Bldg.
A33, Room 0061, San Diego, CA 92152-5112 A -- RDTE/OTHER SCIENCES -- BASIC RESEARCH SOL N66001-00-Q-A153 DUE
031300 POC Purchasing Agent, Melissa Dolan (619) 553-6336; Contracting
Officer, Sylvia Proffit (619) 553-3292 This is a combined
synopsis/solicitation prepared in accordance with the format in the
Federal Acquisition Regulation, supplemented with information included
in this notice. This solicitation incorporates provisions and clauses
at FAR 52.213-4 Terms and Conditions -Simplified Acquisitions (Other
than Commercial Items) (FEB 2000), and any others that are applicable
and in effect through the current Federal Acquisition Circular (FAC)
and the Defense Acquisition Circular. It is the contractors
responsibility to be familiar with all applicable clauses and
provision. No RFQ will be prepared or made available for distribution.
The government intends to award, on a Sole Source basis, an order to
Neurosciences Research Foundation, Inc., for the following task:
Background: At the core of the total information awareness (TIA)
architecture, in the "transition zone," is a box. Such boxes are often
seen in advanced R&D projects. It might as well be labeled "a miracle
happens here." In this box, somehow, multiple incoming sensor streams
from the near and far field are fused together, presumably aided by
models and substantial prior knowledge of the target and environment,
to produce an integrated view of the situation. TIA correctly
recognizes that this is likely to remain an intractable problem for
traditional automated approaches to information processing, and
assigns, instead, this task to humans. But the TIA vision cannot be
realized unless humans are augmented in a substantial way by machines
in this task: there are simply too many data streams to integrate, too
many persons and scenarios to attend to. Large-scale computer models
that capture the principles of the underlying neuroanatomy and
physiology of the brain have been utilized to investigate several
aspects central to the question of sensory integration, perceptual
categorization and the development of perceptual invariance. In
addition to the modeling of large brain networks a number of
statistical measures, derived from information theory, have been
developed to illustrate and quantify some essential characteristics of
brain activity. In addition to their use in characterizing the global
statistical properties of brain activation these information theoretic
measures can also be used as variables to optimize in abstract
networks. There are two such studies currently underway. The first
utilizes a selectionally based optimization routine and elements of
graph theory to investigate the outcome of optimizing for various
global statistical parameters, including neural complexity. In a second
study the use of complexity matching as a way to produce networks that
perform novelty detection is being investigated. Networks, consisting
of multiple input modalities, are trained, using a selection-based
algorithm, to optimize complexity matching across a stimulus set.
Comparing values of complexity matching obtained when different inputs
are presented to such trained networks are used to detect novelty.
SCOPE: The idea of a Perception-Turing machine proposes to combinethese
multiple avenues of research into a system that can integrate sensor
information from multiple streams into a single, coherent worldview.
Models, based on functional mechanism of the brain, would be utilized
to produce a system that performs perceptual categorization in multiple
sensory modalities and simultaneously produces a global integrated
state corresponding to the current view of the world. The various
statistical measures, or derivatives thereof, could then be used to
provide a bridge between these perception-based models and traditional
computer algorithms to detect novelty, abnormality or salience in the
current environment. TECHNICAL REQUIREMENTS: The contractor shall
develop a conceptual but actionable definition of a Perception-Turing
Machine. The contractor shall explain how such a conceptual definition
could contribute to the goals of TIA. The contractor shall identify
the components of a four year research and development program aimed at
delivering operational functionality in the TIA transition zone as well
as contribute insights to the architectural evolution of the TIA
concept. The contractor shall specify areas of experimentation
necessary to confirm the results to date as well as validate the
proposed R& D program. The contractor shall identify key uncertainties
that would be subject to future basic scientific investigation.
GOVERNMENT FURNISHED PROPERTY: The Government will provide the
contractor access to facilities, computer networks, computer equipment,
data or services required for the performance of this task. TRAVEL: To
the maximum extent possible, tasks shall be accomplished by electronic
media over existing high bandwidth or other communication links rather
than by contractor travel. It is estimated that the following trips
will be required for the performance of this task: four trips of three
days for one person to Washington, DC to meet with DARPA/ISO. OTHER:
Security: NONE. Place of Performance: The Neurosciences Institute,
10640 John J. Hopkins Drive, San Diego, CA 92121. Inspection and
acceptance: Dr. William S. Lapp, SPAWARSYSCEN, Code D44202, Building
606, Room 223, Phone: 619-553-2757. Period of Performance: Period of 12
months from date of receipt of award. Facsimile quotations may be sent
to (619) 553-1062. Questions may be directed to Melissa Dolan (619)
553-6336, email: dolanm@spawar.navy.mil. Note 22 applies, however, all
offers received within 15 days (in lieu of 45 days) after date of
publication of this synopsis will be considered by the government. See
numbered notes from any Monday edition of the CBD. The applicable
Standard Industrial Classification Code and Size Standard is:
8733/$5.0. Note: The full text of the Federal Acquisition Regulation
(FAR) can be accessed on the Internet at http://farsite.hill.af.mil/.
Offerors must complete and submit with their quote, a copy of 52.219-1
Alt I/II, Small Business Program Representations. Central Contractor
Registration is required for resulting award. Information may be found
at http://www.ccr2000.com/. Posted 02/23/00 (W-SN427692). (0054) Loren Data Corp. http://www.ld.com (SYN# 0004 20000225\A-0004.SOL)
A - Research and Development Index Page
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