Artificially Intelligent Computing Engine for Travel Itinerary Resolutions

The system of claim 21, wherein the parser is further configured to:

• during execution of the travel itinerary by the user, receive, from the user, a modification to the travel itinerary;
• determine dependency adjustments associated with the plurality of nodes and the plurality of edges;
• and
• adjust the travel itinerary based upon the dependency adjustments caused by the modification of the travel itinerary.

A method for fulfilling travel requests, the method comprising:

• receiving a travel itinerary request from an exchange;
• based on the travel itinerary request, determining associated itinerary components from the a priori representation of knowledge;
• and
• based on the associated itinerary components, generating an itinerary network;
• generating a travel itinerary responsive to the travel itinerary request, the travel itinerary being consistent with the itinerary network;
• and
• returning the generated travel itinerary to the exchange that fulfills the travel itinerary request.

The method of claim 24, further comprising:

• during execution of the travel itinerary by the user, receiving, from the user, a modification to the travel itinerary;
• determining dependency adjustments associated with the plurality of nodes and the plurality of edges;
• and
• adjusting the travel itinerary based upon the dependency adjustments caused by the modification of the travel itinerary.

A system for fulfilling travel requests, the system comprising:

• a memory for storing executable instructions;
• a processor for executing the instructions;
• an artificial intelligence engine stored in the memory and executable by the processor, the artificial intelligence engine configured to generate an a priori representation of knowledge as travel itinerary components;
• a parser stored in the memory and executable by the processor, the parser utilizing the artificial intelligence engine to:
• receive a travel itinerary request from an exchange;
• based on the travel itinerary request, determine associated itinerary components from the a priori representation of knowledge, wherein the determining the associated itinerary components includes decoding the travel itinerary request by determining phrases and tokens of the travel request, wherein the tokens include travel attributes related to the travel request, and wherein the phrases include an ordered list of tokens;
• based on the ordered list of tokens, determine possible next tokens of the travel itinerary request;
• based on the possible next tokens, detect insufficient information associated with the travel itinerary request;
• based on the determining, request the insufficient information from the user;
• based on the associated itinerary components, generate an itinerary network by:
• creating a plurality of nodes within the itinerary network, each of the plurality of nodes representing information associated with the travel request;
• and
• creating a plurality of edges within the itinerary network, each of the plurality of edges connecting two of the plurality of nodes, the plurality of edges representing an order of the plurality of nodes in time based on dependencies between the plurality of nodes;
• a scheduler stored in the memory and executable by the processor, the scheduler configured to:
• generate a travel itinerary responsive to the travel itinerary request, the travel itinerary being consistent with the itinerary network;
• and
• return the generated travel itinerary to the exchange that fulfills the travel itinerary request.