System including inductive learning arrangement for adaptive man

Details System including inductive learning arrangement for adaptive man System including inductive learning arrangement for adaptive man

1989-05-02

1991-07-23

MacDonald, Allen R.

Boots, shoes, and leggings

G06F 1518

Patent

active

050348981

ABSTRACT:
A system and method for adaptively managing the behavior of, for example, a digital data processing system, using inductive learning techniques. The new system includes a data acquistion portion that acquires event data in response to selected events. An inductive engine generates profile knowledge in response to acquired event data during a learning phase, for storage in a profile knowledge store. A profile comparator, during an operational phase, subsequent to the learning phase, performs a verification operation in connection with comparing event data to said profile knowledge stored in said profile knowledge store. A control portion enables event data acquired by said data acquisition portion to be directed to the inductive engine during a learning phase and to the profile comparator during an operational phase to thereby permit the comparator to perform a verification operation in connection with said event data acquired during the operational phase.

REFERENCES:
A Temporally Oriented Data Model; G. Ariav; ACM Transactions on Database Systems; vol. 11, No. 4; Dec. 1986; pp. 499-527.
A Taxonomy of Time in Databases; Snodgrass et al.; pp. 236-246; 1985 ACM 0-89791-160-1/85/005/0236.
Episodic Monitoring of Time-Oriented Data for Heuristic Skeletal-Plan Refinement; Tu et al.; Knowledge Systems Laboratory; Aug. 1988; Report No. KSL 87-70.
Maintaing Knowledge About Temporal Intervals; Allen et al.; Communications of the ACM; Nov. 1983; vol. 26, No. 11; pp. 832-843.
The Mechanisms of Temporal Inference; Fox et al.; Proceedings of the Workshop on Space Telerobotics; JPL 87-13, vol. III; 7/1987; pp. 9-15.
"A Machine Learning Approach to the Automatic Synthesis of Mechanistic Knowledge for Engineering Decision-Making," Stephen C.-Y. Lu and Kaihu Chen, (AI EDAM) (1987) 1(2), 109-118.
"An Intelligent Framework for Engineering Decision-Making," Stephen C.-Y. Lu, SAE Technical Paper Series, Int'l. Congress and Exposition, Detroit, MI, Feb. 23-27, 1987.
Thesis: "An Inductive Engine for the Acquisition of Temporal Knowledge,", Kaihu Chen, Univ. of Illinois at Urbana-Champaign, 1988 (Dept. of Computer Science).

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