MODIFICATION
A -- Integrated Command & Control
- Notice Date
- 6/20/2011
- Notice Type
- Modification/Amendment
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- Department of the Air Force, Air Force Materiel Command, AFRL - Rome Research Site, AFRL/Information Directorate, 26 Electronic Parkway, Rome, New York, 13441-4514
- ZIP Code
- 13441-4514
- Solicitation Number
- BAA-10-01-RIKA
- Point of Contact
- Lynn G. White, Phone: (315) 330-4996
- E-Mail Address
-
Lynn.White@rl.af.mil
(Lynn.White@rl.af.mil)
- Small Business Set-Aside
- N/A
- Description
- The purpose of this modification is to: (1) Incorporate additional information for the following three focus areas for FY12; and (2) Changing the FY12 recommended dates for white papers for these three topic areas. (1) Insert the following three topic areas under I. Funding Opportunity Description: FY 12 Focus Areas: User-Defined Force Presentations: The Air Force needs a powerful and agile method for building new visualization constructs without the long lead time of traditional software development; particularly in cases where non-geospatially based data (data not containing information mapping it to the surface of the Earth), and geospatial data that is better visualized non-geospatially, is becoming more important to the warfighter. The process of traditional application development is slow and laborious, making it ineffective at responding to the pace of technology, imagination, and most importantly, the enemy's evolving modes of warfare. This work will provide a composable visualization capability akin to the Air, Space, and Cyber User Defined Operational Picture (ASC-UDOP), and will also require leveraging of the JView graphical tool set. The specific objectives are to 1) define and develop new rendering constructs that can be instantiated at run-time by operators through a graphical user interface (GUI), and to 2) create ways that allow a user to define components within an application to interact with one another based on event triggers, both those originating from the user and from changes in system state, and to do so dynamically at execution time. White papers for this topic will be due by 13 July 2011. Awards will not exceed 24 months with dollar amounts ranging from $350,000-$1,000,000. Synchronized Mission Optimization and Assembly Service: This focus area seeks novel research and development efforts that will result in a prototype capability that will utilize search-optimization algorithms to automatically assemble missions optimized against warfighter defined needs, constraints, and rules of engagement that are coordinated and synchronized across USAF mission elements (air, space, etc.) into unities of effort based on available resources. It will result in a command and control capability that will be able to handle increases in complexity, mitigate uncertainty and increase ops tempo. The Government is anticipating, but not mandating, technical solutions in three main components for this effort. The first of these components will be a dynamic constraint space that will represent asset limitations, warfighter defined needs, priorities and rules of engagement. Every scenario that mission planners encounter is unique. Furthermore, it is typical for conditions to change after task execution has commenced thereby necessitating a change to the constraint space. As a result, the constraints that shape the mission assembly process are complicated, context-sensitive, and change chaotically/asynchronously. In order to truly represent the limitations and boundaries that shape mission and task planning the constraint space will need to be a dynamic, living entity. The second of these components will be the optimization capability that will be used along with the constraint space to build missions that are coordinated, optimized and synchronized across the USAF mission elements. Each optimization approach that has been developed thus far has strengths and weaknesses. Therefore, it is likely that the strongest performing optimization approach will be a hybrid that incorporates as many of the strengths and as few of the short comings of existing approaches as possible. The third component involves how the resultant overall capability will fit into the bigger picture. Bidders should be conscious of our increasing focus on service oriented architectures, and the need to leverage the Cornerstone plan representation and services. Offers should demonstrate an understanding of service development and, to the extent reasonable and possible, propose deliverables that are readily deployed as services (i.e., discoverable, well-defined, self-contained modules that are independent of state or context of other services). White papers for this topic will be due by 13 Jul 2011. Awards will not exceed 36 months. Individual awards will normally range between $100K to $1.0M per year. Experience Based Adaptive Replanning: Planning for military operations is notoriously difficult; initial plans rarely survive first contact with the enemy. The Air Force requires technologies that will enable commanders to continuously monitor and adjust plans during their execution as the situation evolves and more relevant and timely information becomes available. To achieve these objectives, we require methods of determining that the executing plan is deviating from its expected performance, establishing deviation thresholds upon which replanning actions should be undertaken, and performing rapid adaptive replanning as necessary to reduce the differential between current state and some desired outcome. Planning under this program is viewed as a sequential decision-making process that iteratively modifies states in a state space. Because we are measuring the current world state, this lends itself towards framing it as a Markov Decision Process (MDP). A MDP is represented as a 4-tuple (S, A, T, R), where: S is a set of state variables, A is a set of actions, T is a transition function, and R is the reward function. The state variables comprising S are a set of features representing the world state in which the plan is being executed. The two specific objectives of this focus area are 1) to develop a method of measuring the distance between the state variables and between two or more world states. This is critical for determining whether the plan is going as expected, or deviating from expected performance. 2) to develop a methodology for establishing thresholds for adaptive replanning. Given a method for measuring the deviations in actual plan performance against expected plan performance, the challenge then becomes determining how much of a deviation should be allowed before replanning takes place. This work will research, implement, analyze and compare various methods for achieving these objectives utilizing the Air Force Research Laboratory's Distributed Episodic Exploratory Planning research platform. White papers for this topic will be due by: 1 Aug 2011. Awards will not exceed 24 months with dollar amounts ranging from $200,000-$300,000.
- Web Link
-
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- Record
- SN02477691-W 20110622/110620235251-dd00e26164dae7f23fe479c524c0b23e (fbodaily.com)
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