Information management for high performance autonomous intelligent systems

Authors:
Scott Spetka;Scot Tucker;George Ramseyer;Richard Linderman
Affiliations:
SUNY Institute of Technology and ITT Corp., Utica and Rome, NY;ITT Corp., Rome, NY;Air Force Research Laboratory, Rome, NY;Air Force Research Laboratory, Rome, NY
Venue:
PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
Year:
2007

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Abstract

The publish/subscribe model for information management is particularly well suited for use in intelligent autonomous systems, ranging from robots to tactical communication systems. Information management systems that support pub/sub inherently provide a high degree of autonomy for users and communicating systems. The pub/sub paradigm can allow autonomous intelligent systems to communicate without requiring connection to a centralized brokering system. Each system is responsible for part of the overall brokering function, which imposes a cost for local system resources and proportionally diminishes the intelligence that can be expressed by each node. This raises the question of whether there exist controls that each intelligent autonomous system can use to avoid over-committing resources for publication brokering, such that node intelligence is uncompromised. Issues which affect autonomy in a pub/sub system that is currently under development are addressed.