US5870731A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Adaptive problem solving method and system
Assignee: Intellectum Plus Inc
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Filing: 1997-01-24
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Granted: 1999-02-09
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Expires: 2017-01-24
Abstract
Abstract A computerized learning machine for implementing adaptive problem solving includes an information processing device, a storage device, an output device and an input device. The adaptive problem solving method is implemented by: a) retrieving from the storage device a first question; b) outputting to the output device the first question; c) receiving from the input device an answer from the user; d) assigning a fuzzy logic coefficient to the answer; e) accessing from the storage device a learning route authority to determine the identity of a second question, the determination being dependent on the fuzzy logic coefficient; and f) repeating steps a) to e) for the second question.
Inventors
- 👤 Ioan Trif
- 👤 Niculaie Trif
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-29 08:05
CPC Classifications
G; G06; G06N; G06N5/00; G06N5/04; G06N5/048; Y; Y10; Y10S; Y10S706/00; Y10S706/902; Y10S706/927
Claims Analysis
Total Claims: 13
Claim 1
Independent Claim
211 words
A processing method for use in a computerized learning machine including an information processing device, a storage device, an output device and an input device, the processing method comprising the steps of: a) retrieving from the storage device a first problem, the problem having a plurality of questions, each question having a concept and a plurality of answers; b) outputting to the output device the problem; c) outputting to the output device a question and the associated possible answers; d) receiving from the input device an answer selection; e) assigning a fuzzy logic coefficient to the answer, the fuzzy logic coefficient being related to the correctness of the answer; f) if the fuzzy logic coefficient does not indicate a fully correct answer, outputting to the output device the other possible answers; g) receiving from the input device an answer selection; h) averaging the fuzzy logic coefficients of the answers; i) repeating steps c) to h) for the remaining questions; j) for each question, accessing from the storage device a learning route authority to determine the identity of at least one further problem, the determination being dependent on the average fuzzy logic coefficient and concept associated with the question; k) repeating steps a) to j) for each problem determined in step j).
Claim 2
Dependent Claim
211 words
A processing method for use in a computerized learning machine including an information processing device, a storage device, an output device and an input device, the processing method comprising the steps of: a) retrieving from the storage device a first problem, the problem having a plurality of questions, each question having a concept and a plurality of answers; b) outputting to the output device the problem; c) outputting to the output device a question and the associated possible answers; d) receiving from the input device an answer selection; e) assigning a fuzzy logic coefficient to the answer, the fuzzy logic coefficient being related to the correctness of the answer; f) if the fuzzy logic coefficient does not indicate a fully correct answer, outputting to the output device the other possible answers; g) receiving from the input device an answer selection; h) averaging the fuzzy logic coefficients of the answers; i) repeating steps c) to h) for the remaining questions; j) for each question, accessing from the storage device a learning route authority to determine the identity of at least one further problem, the determination being dependent on the average fuzzy logic coefficient and concept associated with the question; k) repeating steps a) to j) for each problem determined in step j).
Claim 3
Dependent Claim
49 words
A processing method as defined in claim 1, further comprising the steps of: l) accessing from the storage device a learning route authority to determine a second problem, the second problem being more advanced than the first problem; and m) repeating steps a) to l) for the second problem.
Claim 4
Dependent Claim
15 words
A processing method as defined in claim 2, wherein the problems are analytical type problems.
Claim 5
Dependent Claim
15 words
A processing method as defined in claim 2, wherein the problems are experimental type problems.
Claim 6
Dependent Claim
15 words
A processing method as defined in claim 2, wherein the problems are logical type problems.
Claim 7
Dependent Claim
205 words
A computerized learning machine including an information processing device, a storage device, an output device and an input device, wherein adaptive problem solving is implemented by: a) retrieving from the storage device a first problem, the problem having a plurality of questions, each question having a concept and a plurality of answers; b) outputting to the output device the problem; c) outputting to the output device a question and the associated possible answers; d) receiving from the input device an answer selection; e) assigning a fuzzy logic coefficient to the answer, the fuzzy logic coefficient being related to the correctness of the answer; f) if the fuzzy logic coefficient does not indicate a fully correct answer, outputting to the output device the other possible answers; g) receiving from the input device an answer selection; h) averaging the fuzzy logic coefficients of the answers; i) repeating steps c) to h) for the remaining questions; j) for each question, accessing from the storage device a learning route authority to determine the identity of at least one further problem, the determination being dependent on the average fuzzy logic coefficient and concept associated with the question; k) repeating steps a) to j) for each problem determined in step j).
Claim 8
Dependent Claim
205 words
A computerized learning machine including an information processing device, a storage device, an output device and an input device, wherein adaptive problem solving is implemented by: a) retrieving from the storage device a first problem, the problem having a plurality of questions, each question having a concept and a plurality of answers; b) outputting to the output device the problem; c) outputting to the output device a question and the associated possible answers; d) receiving from the input device an answer selection; e) assigning a fuzzy logic coefficient to the answer, the fuzzy logic coefficient being related to the correctness of the answer; f) if the fuzzy logic coefficient does not indicate a fully correct answer, outputting to the output device the other possible answers; g) receiving from the input device an answer selection; h) averaging the fuzzy logic coefficients of the answers; i) repeating steps c) to h) for the remaining questions; j) for each question, accessing from the storage device a learning route authority to determine the identity of at least one further problem, the determination being dependent on the average fuzzy logic coefficient and concept associated with the question; k) repeating steps a) to j) for each problem determined in step j).
Claim 9
Dependent Claim
54 words
A computerized learning machine as defined in claim 6, wherein adaptive problem solving is implemented by, in addition: l) accessing from the storage device a learning route authority to determine a second problem, the second problem being more advanced than the first problem; and m) repeating steps a) to l) for the second problem.
Claim 10
Dependent Claim
21 words
A machine as defined in claim 7, further comprising outputting to the output device feedback on the performance of the user.
Claim 11
Dependent Claim
12 words
A machine as defined in claim 8, wherein the feedback is visual.
Claim 12
Dependent Claim
19 words
A machine as defined in claim 7, further comprising outputting to the output device means for visualizing outputted problems.
Claim 13
Dependent Claim
12 words
A machine as defined in claim 8, wherein the feedback is audio.
References Cited (Backward Citations)
GB1376272A
Cited
US4521199A
Cited
SU1252810A1
Cited
US5274749A
Cited
US4561852A
Cited
US4586905A
Cited
US5034898A
Cited
CA2040614A1
Cited
US5384894A
Cited
US5211563A
Cited
WO1993002622A1
Cited
US5627958A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2002-02-08 | 2002-08-10 | 2003-02-09 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2006-02-08 | 2006-08-10 | 2007-02-09 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2010-02-08 | 2010-08-10 | 2011-02-09 | $7700.00 | Window Closed / Lapsed |