• Corpus ID: 1723896

Reusing Force Deployment Plans

@inproceedings{Mulvehill1995ReusingFD,
  title={Reusing Force Deployment Plans},
  author={Alice M. Mulvehill},
  year={1995}
}
This paper describes how the prototype system ForMAT (Force Management and Analysis Tool) combines CBR and knowledge acquisition/engineering techniques to acquire knowledge of how military forces are deployed; and to support the creation, development, management, reuse, and modification of force deployment plans. Modification challenges are identified. 

Building, Remembering, and Revising Force Deployment Plans

The prototype system ForMAT can be used to construct, store, retrieve and revise force deployment plans and some future work is described to speed up retrieval through the use of high performance AI computing techniques.

Using Mixed Initiative to Support Force Deployment and Execution

JADE demonstrates technology that enables a military planner to build a force deployment plan in less than one hour (the current method can take hours to days).

JOINT ASSISTANT FOR DEVELOPMENT AND EXECUTION ( JADE ) BBN Technologies

This chapter discusses JADE experiences at JEFX2000, how JADE communicates with ACOA, and future Demonstrations/Exercises.

JADE: A Tool for Rapid Crisis Action Planning

A detailed overview of JADE is provided along with plans for technology transition, and several challenges are being met to transition JADE from a research prototype to a fully operational system.

An approach to mixed-initiative management of heterogeneous software agent teams

  • M. BursteinA. MulvehillS. Deutsch
  • Computer Science
    Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers
  • 1999
The approach to mixed-initiative agent team management is discussed, some representational issues involved in identifying compatible agent team members and the capabilities needed to monitor team execution are discussed.

Integrating artificial intelligence techniques to generate ground station schedules

The goal is to create a schedule with as few conflicting contact requests as possible, which is then finalized by expert schedule planners, using case-based reasoning, rule based systems, and generate-and-test techniques, all adopted from Artificial Intelligence.

Rationale-Supported Mixed-Initiative Case-Based Planning

The system, MI-CBP, integrates ForMAT and Prodigy/Analogy into a real-time message-passing mixed-initiative planning system that increases the planning efficiency of human planners through automated suggestion of similar past plans and plausible plan modifications.

References

SHOWING 1-3 OF 3 REFERENCES

Case-Based Reasoning Applied to A Force Generation Decision Aid

The problem domain is described, how the knowledge acquisition was performed in general and with the use of ForMAT through a coupling of knowledge acquisition and case-based reasoning techniques, and how the system will be evaluated for performance from a user-centered perspective in the context of a complex planning scenario.

The User- Centered Design and Development of ForMAT and LOGGEN

  • Proceedings of the ARPA-Rome Laboratory Planning Initiative Annual Workshop
  • 1994

The UserCentered Design and Development of ForMAT

  • 1995