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About Artificial Intelligence Search Algorithms in Travel Planning
This document summarizes a master's thesis on using artificial intelligence search algorithms for travel planning. The thesis evaluated different search strategies like breadth-first search, depth-first search, A* search, and constraint-based planning. It discussed how heuristic search and hierarchical task network (HTN) planning were implemented in interactive travel planners like Heracles to handle constraints. The thesis concluded that constraint-based planners using HTN planning and information agents are better suited for complex travel planning and have benefits for future research in the field of intelligent systems for tourism.
Detailed Information
| Author: | ['Spin Fotonio'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 50 |
| Language: | English |
| Format: | |
| Price: | FREE |
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