Use Case: Personalized Vacation Planning

GPTProX can suggest customized vacation itineraries by incorporating a user’s personal interests and preferences.

Scenario:

Consider Jack who maintains a knowledge base with facts like:

• Jack enjoys hiking, art galleries, and wine tasting
• Past vacation spots Jack liked were Barcelona and Florence
• Jack’s budget for a 7-day trip is approximately $3,000

Process:

When Jack asks GPTProX to plan a vacation in Paris, it constructs prompts infused with Jack’s hobbies and prior vacation patterns. ChatGPT generates Paris sightseeing recommendations based on these personalized prompts.

Logic Programming:

The logic programming module parses ChatGPT’s responses into Prolog format to query Jack’s knowledge base. This filters out infeasible suggestions like expensive Michelin star restaurants.

Integration with GIS and Travel Ontology:

GPTProX also interfaces with a Paris GIS system and travel ontology to pull in relevant geographical facts and semantic relationships. These expand the contextual grounding of the vacation plan.

Validation and Optimization:

The category theory validator models the vacation itinerary across multiple iterations, revising any inconsistencies violation Jack’s constraints. Finally, the multi-agent optimization solver customizes the schedule.