Natural Language System and Methods

A system for natural language understanding, comprising:

• an input module configured to 1) determine an utterance type for a received utterance and 2) generate an input message based on the utterance type, the input message including word-concept groupings, each of the word-concept groupings including at least one word of the received utterance and at least one concept tag associated with the word;
• a network comprising a plurality of interconnected actor perceiver predictor (APP) nodes, each APP node of the plurality of APP nodes associated with a context, action, and result;
• a concept discrimination module (CDM) configured to 1) determine an action type based on the utterance type, 2) search the network to locate a subset of the APP nodes that exceed a threshold connection weight and thereby discriminate the word-concept groupings from other word-concept groupings represented by APP nodes of the network, and 3) retrieve metadata for the word-concept groupings from the subset of the APP nodes;
• an output module configured to 1) determine a response template based on the action type and 2) generate a response to the received utterance by incorporating the metadata into the response template;
• and
• a user interface configured to convey the response to a user.