Semiotic decision making system used for responding to natural language queries and other purposes and components therefor

A triadic semiotic processing module for a semiotic decision making s ystem wherein a training corpus of information in the form of sequential sets of symbols is converted into sets of lineally-related elements where each element represents a node of a multi-node tree form having a single highest level node and a plurality n of lowest level nodes where the lowest level nodes represent one or more sequential sets of training corpus symbols, where each lowest level node is associated with a single higher level node and where each node which is not a lowest level node is associated with exactly two lower level nodes whereby the total number of nodes N is equal to 2n−1, from which a database is created which is thereafter used to make decisions relating to queries input in the same type of training corpus symbols, the module comprising:

• a knowledge base for storing data representations of analyses of subsets of predefined sets of lineally-related elements;
• said knowledge base data representations comprising predicates and elemental and non-elemental acts wherein:
• each predicate is associated with a class of one or more acts such that each act is associated with only one class of acts;
• each elemental act represents a set element and defines a single act class of a corresponding elemental predicate;
• and
• each non-elemental act represents a sequence of a case predicate followed by a result predicate, such that all non-elemental acts are recursively defined as representations of one or more subsets of lineally-related elements of a predefined set and each predicate represents the subsets of lineally-related elements represented by each act within its associated class of acts;
• an input for receiving sets of lineally-related elements and storing a representation of each element as an elemental act record in said knowledge base;
• an inductive processor associated with said knowledge base which recursively processes the received sets by evaluating the relationship and frequency of occurrence of individual elements and sets of elements based upon the lineal relationship of those elements as received by said input to facilitate the generation of predicate records and non-elemental act records based thereon which are then stored in said knowledge base;
• said inductive processor generating statistics regarding the correlation of the stored data representations with said predefined sets of lineally-related elements;
• said inductive processor including an associated inductive analysis space memory used for analyzing each of said predefined sets of lineally-related elements;
• said analysis space memory having, for any given set of N elements, data cells for N progressively higher levels of analysis conducted by said inductive processor;
• each level of analysis associated with one or more data cells in which are stored predicates and associated acts, a first level of analysis associated with N cells, each first level cell for receiving one or more elemental predicates and corresponding elemental acts representing one of said N set elements such that all N set elements are associated with one of said first level cells;
• and
• each cell associated with an ith analysis level, where I is an integer from 2 to N, for receiving predicate and associated act representations of analyses of a different subset of I lineally-related elements of the set of N elements based on the predicates previously received in lower level cells in correlation with the acts stored in said knowledge base.