Interrogating device and method

Abstract: An interrogating device which comprises a rule memory (11) for storing forward inference rules utilizable in a forward inference control system (3) or backward inference rule utilizable in a backward inference control system (4), a working memory for storing facts (5), and a forward inference control section (3) operable to add or delete a fact relative to the working memory according to the forward inference rules or a backward inference control section (4) operable to conduct a search according to the backward inference rules.

Description: The present invention relates to an interrogating device based on a forward inference system or a backward inference system. In conventional interrogating devices, the priority of rules is determined beforehand and cannot be changed during the course of execution of an inference. Therefore, in order to solve a problem in which the priority of the rules changes dynamically, there is provided a special fact for use in controlling the change of the priority other than the ordinary fact so that the priority can be apparently changed. Also, although the deletion of the rules can be carried at a command level relative to the interrogating device, it cannot be carried out at an action level of the rules. Accordingly, where there is a rule which is used only under a special case, as is the case with the change of the priority of the rules as hereinabove described, a special fact for use in controlling the deletion of the rules is provided so that the rules can be apparently deleted. Because of this reason, the rules can be deleted at the time of execution of a rule debug. However, the rules once deleted cannot be restored. As hereinabove discussed, in the prior art interrogating device, since the special facts for use in controlling the change of the priority and in controlling the deletion of the rules are required other than the ordinary facts so that, during the execution of the inference, the priority of the rules can be changed and the rules can be deleted, respectively, the device tends to be complicated. Also, since the rules once deleted cannot be restored, the rules have to be prepared from the beginning where the inference is desired to be executed using the rules.which have been deleted. Also, in the interrogating device in which both of the forward inference and the backward inference are employed, none of them is available wherein the priority of the rules of the forward inference can be superseded by those of the backward inference and wherein the deletion and restoration of the rules can be accomplished. The article "GENIE: an inference engine with diverse applications", the second conference on artificial intelligence applications, the engineering of knowledged-based systems, Miami, Florida, 11th to 13th December 1985, p. 473 to 480, IEEE, New York, US, by Brandig et all, describes an expert system using an inference engine; the principles of forward and backward inference are disclosed. It is an object of the invention to provide an interrogating device wherein change of priorities of the forward inference rules, the rule debug and the reexecution of inferences according to the rules which have been deleted can be easily accomplished. This object is achieved by an interrogating device as defined in claim 1 and by a method as defined in claim 3; the dependent claims relate to further developments of the invention. BRIEF DESCRIPTION OF THE DRAWINGS This and other objects and features of the present invention will become clear from the following description taken in conjunction with a preferred embodiment thereof with reference to the accompanying drawings, in which: Fig. 1 is a block diagram showing the structure of an interrogating device according to one embodiment of the present invention; Fig. 2 is a diagram showing the structure of facts stored in a working memory; Fig. 3 is a diagram showing the structure of rules stored in a rule storage unit; Fig. 4 is a diagram showing a storage structure of a condition unit of the rules; Fig. 5 is a diagram showing a storage structure of a conclusion unit of the rules; Fig. 6 is a diagram showing a storage structure of actions during the change of the priority of the rules; Fig. 7 is a diagram showing a storage structure of actions during the deletion of the rules; Fig. 8 is a diagram showing a storage structure of actions during the restoration of the rules; Fig. 9 is a diagram showing a storage structure of elements of a conflict set; and Fig. 10 is a diagram showing the elements of the conflict set linked together in a chain. DETAILED DESCRIPTION OF THE EMBODIMENTS Fig. 1 illustrates a block diagram showing the structure of an interrogating device 1 having both of a forward inference control mechanism and a backward inference control mechanism. The interrogating device 1 comprises an overall control unit 2, a forward inference section 3, a backward inference section 4 and a working memory 5. The overall control unit 2 is operable to start or terminate an interrogating operation as will be described later, to execute a forward/backward inference control, to analyze an input data, to process a command relative to the interrogating device 1, and to process actions obtained from the inference during the execution. In other words, an input processing unit 6 is operable to read and analyze files containing facts and rules separately compiled by a program synthesizing device (not shown) so that the contents of the files can be classified into facts, forward inference rules, backward inference rules and commands relative to the interrogating device 1. Where a result of the classification is a fact, it is stored in a working memory 5; where a result of the classification is the forward inference rule, it is stored in a rule storage 11 of the forward inference section 3; where a result of the classification is the backward inference rule, it is stored in a rule storage 12 of the backward inference section 4; and where a result of the classification is a command, the command processing unit 7 is called. By so doing, the command processing unit 7 executes, depending on the contents of the command, a process of starting the inference and a processing of a command issued to the interrogating device 1 from the outside such as the display of the contents of the working memory 5 and the specification of a strategy. By way of example, when a command instructing the start of the inference is inputted, an inference control unit 10 is called for the execution of the inference. An external function processing unit 8 performs a process which is to be executed when an external function is called during the execution of the inference. An action processing unit 9 is operable to perform an action which takes place during the forward inference or the backward inference as will be described later. The forward inference section 3 performs a comparison between the fact stored in the working memory 5 and the rules stored in the rule storage 11 to synthesize a conflict set consisting of the rule and the corresponding fact which have satisfied a condition, which conflict set is subsequently stored in a conflict set storage 13. Then, by a conflict resolution, one of the rules is selected from the conflict set and the action of a conclusion portion of the selected rule is executed. The backward inference section 4 is operable to set up a goal according to the rules stored in the rule storage 12 for the backward inference and to refer to the working memory 5 for the determination of whether or not the goal has been established. Where interrogation is performed with the use of the interrogating device 1 of the above described construction, the following procedures are taken. (1) by a program synthesizing device not shown, a file consisting of the facts and the rules is prepared. (2) The contents of this file are analyzed by the interrogating device 1 and are stored in a storage device (the rule storages 11 and 12 and the working memory 5 shown in Fig. 1). (3) With the use of the facts and the rules stored in the storage device 11, 12 and 5, the inference is executed as will be described later. If it does not function properly, the procedure (1) above is resumed. The present invention relates to what sentence construction is used to synthesize a file of knowledge during the procedure (1), to how conversion is made for the storage in the rule storages 11 and 12 and also in the working memory 5 during the procedure (2), and to how the inference is executed during the procedure (3). (A) Sentence Construction of Knowledge There is a fact and a rule in the above described knowledge. Hereinafter, the sentence construction of each of the fact and the rule will be discussed. The accuracy in the illustrated embodiment is expressed by an integer value within the range of -100 to 100. An example of the sentence construction of the fact in the file of knowledge is illustrated in Table 1 below. There is a fever ; The name of a disease is cold 80 ; The name of a disease is pneumonia -50 ; ! The name of a disease is pneumonia 50 ; In the examples of the four facts shown in Table 1, the first fact is "There is a fever" and represents a pattern of fact (as will be described later) with ";" showing the end of the fact. If no numeral exist in front of ";", the accuracy of the fact is 100 and such fact is treated as a decisive fact. The second fact indicate that the accuracy of the fact, "The illness is a cold", is 80. The third fact indicates the accuracy of the fact, "The illness is pneumonia", is -50. If the accuracy is shown by a negative numeral, it means that the fact is denied. The fourth fact is a negative form of the third fact. The symbol "!" placed at the head of the sentence indicates a negation. The third and fourth facts are totally equally treated. A type of existence relative to the fact is void. The existence/void is attached to each condition within the condition section of the rules as will be described and is used for the determination of whether or not such condition establishes. An example of the sentence construction of the rule in the knowledge file is shown in Table 2. <Diagnosis of Cold> 100 If there is a fever there is a quivering - The name of a disease is a cold then, (display "The illness appears a cold") (make The illness is a cold) 80 ; The rule consists of the rule designation "<Diagnosis of Cold>, the priority "100", the condition section "If ... ", the conclusion section "then", and the accuracy "80", and the end of one rule is represented by ";". The priority of this rule is 100. The priority in the illustrated embodiment can take any value within the range from -32768 to 32767 and will take zero (0) if the description is omitted. Accordingly, the rule shown in Table 2 above is given priority to the other rule in which the priority is omitted. The accuracy can be omittable and, if omitted, will be regarded 100 as described above. In the example shown in Table 2, the accuracy is 80. That the accuracy of the rule is 80 means "the accuracy of the fact newly added in the case where one of the accuracies of the facts matching with each condition in the condition section and stored in the working memory 5, which is lowest of all, is 100, is 80". The symbol "-" used in the third condition in the above rule indicates that, if the fact "The illness is a cold" is not stored in the working memory 5, this condition is true. (B) Storing Method The fact and rule of the above described sentence construction are stored in the working memory 5 and the rule storage 11 or 12, respectively, by the input processing performed by the input processing unit 6 shown in Fig. 1. A method of storing the fact in the working memory 5 will first be described. By way of example, the four facts shown in Table 1 are stored in the form of such structures as shown in Fig. 2. In the interrogating device 1 in the illustrated embodiment, in order to maximize the efficiency of the memory, there is provided a region in which a case structure of the fact is separately stored. In an entry in the case structure of the working memory 5, numbers of arrangement of case structures corresponding to the regions in which the actual case structures are stored are allocated. Moreover, accuracies, flags and pointers are allocated to the working memory 5. Referring to Fig. 2, the case structure 1 in the first entry represents a structure of the fact "There is -", while the case structure 2 represents a structure of the fact "It is -". In the actual working memory 5, the numbers of arrangement of the corresponding case structures as described above are stored. The flag in the third entry is a flag used to express whether each element in the working memory 5 is affirmative or whether each element in the working memory 5 is negative. The number of arrangement (or address) of the case structure is entered in the pointer in the last entry. Hereinafter, a method of storing the rule in the rule storage 11 or 12 will be described. By way of example, the rules shown in Table 2 are stored in the rule storages 11 and 12 in the form of such structures as shown in Fig. 3. In the illustrated embodiment, as is the case with the.fact, in order to maximize the efficiency of the memory, the condition section and the conclusion section of the rules are stored in respective regions, and the condition section and the conclusion section store respective pointers indicative of the position of the condition section and that of the conclusion section corresponding respectively to the above described regions. Only a structure which constitutes the heart of the rule is illustrated here. Although in Fig. 1 the rule storages 11 and 12 for the forward and backward inferences, respectively, are shown separately, the reality is that a common region is occupied by the forward and backward inference rules, and, depending on the type shown in the second entry in Fig. 3, the forward inference rules and the backward inference rules are separated. Also, a flag indicative of whether or not the above described rule is deleted is given the uppermost entry of the structure. This is a hit flag and can share with the region common to the above described type. A method of storing conditions of the rule will now be discussed. The structure of storage of the conditions is shown in Fig. 4. This is a structure in a region pointed out by the pointer of the condition in the structure of the rule shown in Fig. 3. The structure of the conditions is, as is the case with the structure of the facts, stored with case structures separated in respective regions. The first entry of the structure of the conditions represents the type of condition. The above type is weighed by bit-to-bit in the memory. "Negation" ("Negat." in Fig. 4) is the same as the negation of the fact described above. "Existence" ("Exist." in Fig. 4) indicates the establishment of a condition if the fact which matches with such condition exists in the working memory 5. On the other hand, "Void" indicates that a condition is established if the fact that matches with such condition does not exist in the working memory 5. The respective entries for the case structure and the pointer are the same as described above in connection with those for the fact. The entry of the evaluating equation is used in the case where the condition makes use of a variable and there is some limitation to the variable. The content actually stored in the entry of the evaluating equation is a pointer towards a structure of the equation. The entry of the action is used in the backward inference and stores a pointer towards the structure of action in which no manipulation of the working memory 5 is carried out. Also, a method of storing the conclusion section of the rule will now be described. In the rule structure shown in Fig. 3, it is a structure of a region directed to a pointer of the conclusion section. As shown in Fig. 5, the action in the conclusion section consists of the name of the action and a parameter. The action in the example shown in Table 2 is "DISPLAY" and "MAKE" of the fact. In case of the display, since a processing is done with the display of the parameters and the display of the character sequence separated, a value of "DISPLAY" is entered in the case of the display of the character sequence. In the case of the addition of the fact, a value of "MAKE" is entered. Finally, "ACTION END" is entered. "DISPLAY", "MAKE", and "ACTION END" are in fact integer values and, in the illustrated embodiment, they are expressed by the respectively character sequences. In practice, however, 1, 2 and 0 are respectively allocated to "DISPLAY", "MAKE" and "ACTION END". Hereinafter, the action for changing the priority and the action for the deletion or restoration of the rules according to the present invention will be discussed. In the first place, the action for changing the priority of the rules will be described. In Table 3, the sentence construction of the action for changing the priority of the rules from 100 to 20 is shown. (priority Diagnosis of Cold 20) "priority" is the name of the action for changing the priority of the rules. A parameter is the name of the rule and a new priority. The structure of storage of Table 3 is shown in Fig. 6. Where the number of the parameters is 2 or more, the serial numbers (in the illustrated embodiment, "PRIORITY" is used instead thereof as above) are successively used in this way. The action for deleting the rules will now be described. Table 4 below illustrates the sentence construction of the action for the deleting of a rule. (excise Diagnosis of Cold) "excise" is the name of the action for deleting the rule. A parameter is the name of the rule. The structure of storage of Table 4 is shown in Fig. 7. When the action for the deletion of the rule is executed, a flag in the uppermost entry shown in Fig. 3 is set to a deletion side. Finally, the action for restoring the rule will be described. The structure of the action for restoring the rule of Table 2 deleted during the action shown in Table 4 is shown in Table 5 below. (resume Diagnosis of Cold) "resume" is the name of the action for restoring the rule. A parameter is the name of the rule. The structure of storage of Table 5 is shown in Fig. 8. Thus, merely by inserting in the conclusion section of the rule or the condition section the sentence constructions of the actions for the change of the priority of the rule, the deletion of the rule and the restoration of the rule, the change of the priority, the deletion of the rule and the restoration of the rule can be easily accomplished. (C) Execution of Forward Inference The forward inference is executed in the following procedures. (1) Comparison is made between each condition in the condition section of the rules and the fact in the working memory 5 so that the rule can be selected in which all of the conditions are satisfied. At this time, if with respect to a certain rule there is a plurality of sets of facts in the working memory 5 which satisfy the condition section, they are distinguished. The rule which has been selected as a result of the establishment of the conditions is hereinafter referred as an executable rule. A set of this executable rule and the fact corresponding thereto is called a conflict set. (2) Only one is selected out from the conflict set determined during the procedure (1) above. The selection of only one out from the conflict set is called a conflict resolution, and the manner of selecting when the selection is made is called a strategy of the conflict resolution, or simply a strategy. Where there is no conflict set, the inference is terminated. (3) The conclusion section of the rule which has been selected as a result of the conflict resolution is executed. This is referred to as a firing of the rule, or simply a firing. After the firing, the procedure (1) above is resumed. Each time the rule is executed, comparison is made between the next succeeding rule and the working memory 5. However, a combination of the rule, which has previously been fired, and the fact in the working memory 5 will no longer be added to the conflict set. (C-1) Matching With respect to each condition of the rule and the fact in the working memory 5, comparisons of the pattern, the accuracy and the affirmative/negative are carried out in the following manner. (i) The pattern is checked as to whether it matches with each other. The pattern refers to a combination of a case construction, such as "There is ...", and a value "fever" in the sentence "There is a fever". A variable may be used as a condition and, in such case, a check is made with the use of a value, confined by the variable, to determine if the pattern matches with each other. (ii) By combining the accuracy and the affirmative/negative, the matching is determined according to Table 6 below. Matching Condition Elements in the Working Memory Success Affirmative Affirmative 20 < = Accuracy Failure Affirmative Affirmative Accuracy < 20 Success Affirmative Negative Accuracy < = -20 Failure Affirmative Negative -20 < Accuracy Success Negative Affirmative Accuracy < = -20 Failure Negative Affirmative -20 < Accuracy Success Negative Negative 20 < = Accuracy Failure Negative Negative Accuracy < 20 (iii) If the condition is "Void", the truth and false are reversed. In this way, when all of the conditions in the rule establish, sets of the established rules and the facts in the working memory 5 are registered in the conflict set storage 13 in the forward inference section 3 shown in Fig. 3. The structure of storage of the conflict sets is shown in Fig. 9. The structure of elements of the conflict set consists of the rule number, the number of the elements of the working memory 5 which have matched, the confinement of the variable during the matching and the pointer for arranging according to the strategy. This structure of storage is prepared for each rule which has been matched and the fact in the working memory 5. In the illustrated embodiment, the matching is similarly performed with respect to the rule which has been deleted. This is for the purpose of avoiding any possible interruption of the inference which would be caused by the matching with a large amount of data in the event that the rule once deleted is subsequently restored. (C-2) Conflict Resolution The elements of the conflict set prepared in (C-1) are arranged according to the strategy at that time. In the illustrated embodiment, the arrangement is not carried out after all of the elements have been determined, but each time the element is determined, the elements so determined are successively inserted in a list of the elements. The elements are chained together as shown in Fig. 10 by respective pointers. Where a new element is made, the new element is inserted in the chain of the elements in the following procedures. (a) The heading element of the conflict set is rendered subject to comparison. (b) Comparison is made between the new element and the heading element according to the current strategy. (c) If as a result thereof priority is given to the new element, the new element is inserted in front of the element which is rendered subject to comparison, followed by the termination. (d) If priority is not given to the new element, the new element is again compared with the next succeeding element. If there is no element with which it is to be compared, the new element is inserted subsequent to the last element, followed by the termination. (e) Return to (b). In the illustrated embodiment, when the comparison is made at (b), the comparison is made in terms of the priority of the rule. Where the priority is the same, comparison is performed according to a specified strategy. (C-3) Execution of Rule At the time the conflict resolution terminates at (C-2), one of the elements of the conflict set is selected and the conclusion section of the rule thereof is executed according to the rule number thereof. In the illustrated embodiment, although the conflict set is in the form of a list arranged according to the strategy, they are included in the conflict set with respect to the rules deleted. Because of this, reference is made to the type of the structure of the rules shown in Fig. 3 to determine if it is a rule which is not deleted sequentially from the heading of the conflict set, and the conclusion section of the initial rule not deleted is executed. Where "priority" and "strategy" are executed in the action of the conclusion section, the strategy is then changed. For this purpose, the sequence of numbering of the elements of the conflict set has to be changed. Since the conflict set is in the form of a chain as shown in Fig. 10, these elements have to be divided so that a new chain can be prepared according to the procedure (C-2). (D) Backward Inference The case of the backward inference will now be described. Table 7 below illustrates the sentence construction of the rule where the action for changing the priority of, for example, the forward inference in the backward inference is employed. <Backward Diagnosis of Cold> If there is a fever there is a quivering (priority Diagnosis of Cold 20) - The name of the disease is cold (display "The name of the disease appears to be cold") then, the name of the diseases is cold 80 ; Where the backward inference rule shown in Table 7 is to be stored, a pointer towards the structure of the action stored in a separate region is accommodated in an entry of the action of the elements of the condition of Fig. 4 corresponding to the action of the condition section of Table 7. When the backward inference is to be executed, if the matching in the order of the conditions is successful, one goes to the next succeeding condition. Accordingly, the action (priority Diagnosis of Cold 20) is executed after the matching of the condition "there is a quivering" has been successful. In this way, by adding the respective actions for changing the priority, deleting the rule and restoring the rule to the condition section of the backward inference, change of priority from the backward inference to the forward inference, and the deletion and restoration of the rule can be easily accomplished. From the foregoing description, the present invention is the interrogating device comprising a rule memory storing forward inference rules, which are used in a forward inference control system, and backward inference rules which are used in a backward inference control system, a working memory storing facts, a forward inference control unit operable to add or delete the fact relative to the working memory according to the forward inference rule and a backward inference control unit operable to conduct a search according to the backward inference rule, in which device priority is given to the forward inference rules tored in the rule memory; wherein a command is added to a predetermined rule of one of the forward inference rules and the backward inference rules stored in the rule memory, which command is necessary to perform one of functions of changing the priority added to the forward inference rules, deleting the rule and restoring the rule; wherein in the forward inference control system the change of the priority of the forward inference rules, the deletion of the rule and the restoration of the rule is enabled by the forward inference control unit; and wherein in the forward and backward inference control systems the change of the priority of the forward inference rules, the deletion of the rule and the restoration of the rule is enabled by the backward inference control unit. Accordingly, no special fact is necessary for controlling the change of the priority of the rule and the deletion of the rule, and the change of the priority of the forward inference rules, the deletion of the rule and the restoration of the rule can be easily accomplished by the action of the forward inference rule or backward inference rule. Thus, according to the present invention, in the forward inference control system, the change of the priority of the forward inference rule, the deletion of the rule and the restoration of the rule can be accomplished by the forward inference control unit. Also, in the forward and backward inference control systems, the change of the priority of the forward inference rule, the deletion of the rule and the restoration of the rule can be accomplished by the backward inference control unit.

Claims: An interrogating device having a forward inference control system, comprising: input processing means (6) for reading data and classifying the data into forward inference rules having forward condition sections corresponding to each of said forward inference rules, affirmation facts, negation facts and commands; a rule memory (11) for storing said forward inference rules; a working memory (5) for storing said affirmation facts and said negation facts; forward inference control means (3) for adding said affirmation and negation facts to said working memory (5) and selecting said affirmation and negation facts from said working memory in response to said forward inference rules; wherein each rule comprises a flag section indicating whether a rule is deleted or restored, a priority section specifying a priority of the rule, said condition section and a conclusion section, wherein resolution of a conflict set is performed based of the priorities of the rules included in the conflict set, wherein action commands are included in the conclusion section of predetermined forward inference rules, said action commands effecting a change of priority, deletion or restoring of certain forward inference rules when the rule including their action commands has been selected during conflict set resolution. An interrogating device as claimed in claim 1, further having a backward inference system, wherein backward inference rules are stored in the rule memory, backward inference control means for recording backward condition sections included in said backward inference rules, wherein predetermined backward inference rules include action commands in the condition section for changing priorities of certain forward inference rules and for restoring and deleting certain rules. A method for performing a forward inference analysis in an interrogating device, comprising the steps of: (a) reading data into the interrogating device; (b) classifying the data into affirmation facts, negation facts and forward inference rules, (c) storing said affirmation facts and said negation facts in a working memory (5); (d) storing said forward inference rules in a rule memory; each of said inference rules comprising a flag section indicating whether this rule is deleted or restored, a priority section specifying a priority of said rule, a condition section and a conclusion section; (e) said conclusion of predetermined forward inference rules includes action commands effecting a change of priority, deletion or restoring of certain forward inference rules; (f) comparing said forward condition sections with said affirmation facts and said negation facts stored in said working memory; (g) collecting said forward inference rules having said forward condition sections match with said affirmation facts and said negation facts at said step (f); (h) selecting one of said forward inference rules with the highest priority when at least one forward inference rules is collected at said step (g); (i) executing said action commands in the conclusion action section of the rules, said command including adding or deleting in said working memory, changing the priority of said forward inference rules and deleting or restoring said forward inference rules when said one forward inference rule is selected at said step (h). A method as claimed in claim 3, wherein in step (b) also backward inference rules are classified, further including the steps of: (j) determining whether one of said backward inference rules matches with a goal; (k) executing said backward inference rules and returning to said step (f) when one of said backward inference rules is determined to match said goal at step (j); and (l) returning to said step (e) when said backward inference rules fail to match with said goal as determined at said step (j).

Inventors: NAKAMURA NOBUO, TANAKA TOSHIYUKI, YAMAMOTO MUTSUHIRO, NAKAMURA, NOBUO, TANAKA, TOSHIYUKI, YAMAMOTO, MUTSUHIRO
Applicants: SHARP KK, SHARP KABUSHIKI KAISHA
Application year: 1988
Main classification: G06F9
IPC codes: G06N5, G06F9