Autonomous thinking pattern generator

11397896 ยท 2022-07-26

    Inventors

    Cpc classification

    International classification

    Abstract

    An autonomous thinking pattern generator including a pattern converter configured to convert input information to patterns, the input information including image information, sound information or language, a pattern recorder configured to record the patterns, a pattern controller configured to set and change the patterns, and form connective relations between the patterns, and an information analyzer configured to evaluate values of the input information is provided. The pattern recorder is configured to record the patterns corresponding to the input information which is determined as worthy by the information analyzer autonomously.

    Claims

    1. An intellectual machine including a computer functioning as an autonomous thinking pattern generator, the computer being configured to: convert input information to patterns, the input information including image information, sound information or language; record the patterns into a pattern recorder; set and change the patterns, and form connective relations between the patterns; and convert the patterns into control signals, and output the control signals to control at least one device; wherein the computer is configured to convert input information to an image pattern if the input information is image information, convert input information to a sound pattern if the input information is sound information, and convert input information to a language pattern if the input information is language, and wherein the computer is configured to: connect the image pattern with a language pattern indicating a name of an object recognized by the image information, connect the sound pattern with a language pattern indicating a word or a sentence recognized by the sound information, connect a language pattern indicating one event with a language pattern indicating a reaction of the one event, and when image information that includes an image of a red traffic light is input, activate an image pattern corresponding to the input image information, activate a first language pattern which is connected to the activated image pattern and indicates language of a red traffic light recognized by the input image information, activate a second language pattern which is connected to the first language pattern and indicates a language of stop indicated by the first language pattern, and convert the second language pattern to a control signal which instructs the at least one device to stop.

    2. The intellectual machine according to claim 1, wherein the computer is configured to evaluate at least one of: from whom the input information is obtained; to which field the input information is related; and a relationship between the input information and the recorded information.

    3. The intellectual machine according to claim 2, wherein the computer is configured to evaluate to which field the input information is related, or whether the input information is of interest based on a word or a sentence included in the input information.

    4. The intellectual machine according to claim 2, wherein the computer is configured to evaluate consistency of the input information as the relationship between the input information and the recorded information.

    5. The intellectual machine according to claim 2, wherein the computer is configured to classify the input information into one of a plurality of categories, based on a word included in the language, to evaluate the type of the input information.

    6. The intellectual machine according to claim 1, wherein the computer is configured to: detect a pattern related to the input information by checking the patterns recorded in the pattern recorder; evaluate a relation between the detected pattern and a pattern corresponding to the input information; form a connective relation based on the evaluation, and wherein the pattern related to the input information includes a pattern which has a meaning opposite to the input information.

    7. The intellectual machine according to claim 1, wherein: a first pattern corresponding to input information related to a first event and a second pattern corresponding to input information related to a second event, different from the first event, are recorded in the pattern recorder, and when the second event happens after the first event happens, the computer is configured to (i) form a connective relation between the first pattern and the second pattern and, (ii) in response to an activation of the first pattern, cause the second pattern to be activated.

    8. The intellectual machine according to claim 7, wherein the second event is an event caused by the first event, or an event suggested from the first event.

    9. The intellectual machine according to claim 1, wherein the computer is configured to: identify a part of speech of words included in the input information; convert the input information into a language pattern in which the words are arranged in positions corresponding to subject, predicate and modifiers; and record the language pattern in the pattern recorder.

    10. The intellectual machine according to claim 2, wherein, when the input information is converted into a language pattern and recorded, a reason of the input information, which is input along with the input information, is converted into the language pattern and recorded, and groups of language patterns which show the reasons are constructed, and wherein the computer is configured to search the groups of language patterns which show the reasons, and to determine the validity of a reason of the input information based on the number of the matching results.

    Description

    BRIEF DESCRIPTION OF THE DRAWING

    (1) FIG. 1 shows an exemplary construction of the thinking pattern generator (Claim 1).

    (2) FIG. 2 shows an exemplary construction of the image pattern converter.

    (3) FIG. 3 shows an exemplary construction of the sound pattern converter.

    (4) FIG. 4 shows an exemplary construction of the language pattern converter.

    (5) FIG. 5 shows an exemplary construction of the pattern recorder.

    (6) FIG. 6 shows an exemplary operation of the pattern recorder.

    (7) FIG. 7 shows an exemplary operation of the connective relations between the language patterns.

    (8) FIG. 8 shows an exemplary construction of the thinking pattern generator (Claim 2).

    (9) FIG. 9 shows an exemplary operation of the information analyzer (Fields analysis).

    (10) FIG. 10 shows an exemplary operation of the information analyzer (Consistency analysis).

    (11) FIG. 11 shows an exemplary operation of the information analyzer (Analysis of the same meaning) (1/2).

    (12) FIG. 12 shows an exemplary operation of the information analyzer (Analysis of the same meaning) (2/2).

    (13) FIG. 13 shows an exemplary operation of the information analyzer (Group of the same meaning).

    (14) FIG. 14 shows an exemplary operation of the information analyzer (Detection of the novelty).

    (15) FIG. 15 shows an exemplary operation of the detecting and recording worthy information

    (16) FIG. 16 shows an exemplary construction of the thinking pattern generator (Claim 3).

    (17) FIG. 17 shows an example of the language pattern generated by the sentence construction analyzer.

    (18) FIG. 18 shows an exemplary construction of the thinking pattern generator (Claim 4).

    (19) FIG. 19 shows an example of the patterns corresponding to combinations.

    (20) FIG. 20 shows an exemplary construction of the pattern recorder which avoids wrong pattern detection.

    (21) FIG. 21 shows an exemplary construction of the pattern recorder which avoid interference by multiple input patterns

    LIST OF REFERENCE SIGNS

    (22) 1 image sensor 2 image pattern converter 3 sound sensor 4 sound pattern converter 5 language input unit 6 language pattern converter 7 pattern recorder 8 pattern controller 9 control signal generator 10 actuator 11 information analyzer 13 information surveyor 14 pattern 15 active side pattern detector 16 active side threshold 17 module active unit 18 active side connection generator 19 active side pattern recorder 20 suppress side pattern detector 21 suppress side threshold 22 wrong detection suppressing unit 23 suppressive side connection generator 24 suppressive side pattern recorder 25 input pattern A 26 input pattern B 27 input lines 28 output lines