Story-based planning in theme park

Yutaka Matsuo, Shigeyoshi Hiratsuka, Tomohisa Yamashita, Akira Takagi, Naoaki Okazaki, Takuji Tokiwa, Koichi Kurumatani

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


This study develops a planning system to make a tour plan both in a theme park and a town with multi-agent architecture. The main part of the system comprises two kinds of agents: a Story Writer agent and a Story Miner agent. A Story Writer agent makes a schedule for a user based on the user's preferences, goals, and interests with a consistent plot such as "ride all the coasters in the park" or "go to see a trendy movie." It contributes to a user's satisfaction by generating an interpretable plan that matches the plot. On the other hand, the Story Miner agent discovers some characteristic from the generated plan and produces an explanation for why the plan is good. It contributes to user satisfaction by explicitly providing the reason for the plan being good. We describe two scenarios: a theme park scenario and a date support scenario. Especially, we detail algorithms for both types of agents for theme park scenario.

Original languageEnglish
Pages (from-to)70-85
Number of pages16
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Publication statusPublished - 2004 Dec 1
EventInternational Workshop, MAMUS 2003: Multi-Agent for Mass User Support - Acapulco, Mexico
Duration: 2003 Aug 102003 Aug 10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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