Architecture for an artificial agent that reasons defeasibly

Details Architecture for an artificial agent that reasons defeasibly Architecture for an artificial agent that reasons defeasibly

1995-05-22

1998-01-06

Downs, Robert W.

395 51, G06F 1518

Patent

active

057064067

ABSTRACT:
A method for defeasible reasoning including a method for analyzing data input, reasoning to conclusions on the basis of that data and adopting and executing plans on the basis of those conclusions. The processes are defeasible in the sense that, as reasoning proceeds or new data is input to the system, both conclusions and plans may be retracted and replaced by new conclusions and plans that are better supported by the new data and reasoning. The methods of the invention are useful as controlling mechanisms for a variety of applications, including robotics, operational assembly lines, and as on-line "assistants" for computer work. The methods can also be used as an advisor in many applications, including medical diagnosis, fault diagnosis in manufacturing and transportation scheduling. Additionally, submethods that draw conclusions on the basis of defeasible reasoning can be used as an inference-engine for automated data analysis.

REFERENCES:
J.L. Pollock, "How to reason defeasibly," Artificial Intelligence 57, pp. 1-42, Sep. 1992.
P. Besnard and E. Gregoire, "DRUMS: Defeasible Reasoning and Uncertainty Management Systems," AI Communications, vol. 6(1), pp. 24-46, Mar. 1993.
J.L. Pollock, "OSCAR--A General-Purpose Defeasible Reasoner," Automated Deduction in Nonstandard Logics--1993 AAAI Fall Symposium, pp. 134-141, Oct. 1993.
M.R. Cravo and J.P. Martins, "A Practical System for Defeasible Reasoning and Belief Revision," ECSQARU '93, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, pp. 65-72, Nov. 1993.
R.L. Causey, "EVID: A System of interactive defeasible reasoning," Decision Support Systems, vol. 11(2), pp. 103-131, Feb. 1994.
P. Geerts and D. Vermeir, "Ordered logic: defeasible reasoning for multiple agents," Decision Support Systems, vol. 11(2), pp. 157-190, Feb. 1994.
J.L. Pollock, "Justification and defeat," Artificial Intelligence 67, pp. 377-407, Jun. 1994.
H. Shu, "A Logical Framework for Defeasible Reasoning," Proc. 3rd Pacific Rim Int'l. Conf. on Artificial Intelligence, pp. 226-232, Aug. 1994.
L.M. Pereira, et al., "Logic Programming for Non-Monotonic Reasoning," Lecture Notes in Artificial Intelligence--Knowledge Representation and Reasoning under Uncertainty, pp. 107-121, Dec. 1994.

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