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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
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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 19:59
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.

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