Learning planning heuristic through observation

  • Authors:
  • Charles Dolan;Michael Dyer

  • Affiliations:
  • Artificial Intelligence Lab, Computer Science Department, UCLA and Hughes Aircraft AI Center;Artificial Intelligence Lab, Computer Science Department, UCLA

  • Venue:
  • IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1985

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper discusses a method for learning thematic level structures, i.e. abstract plan/goal combinations, by observing the bad planning behavior of narrative characters. The learning method discussed is a one-trial, schema acquisition method, which is similar to DeJong's [DeJong, 1983]. The method uses constraint-based causal reasoning to construct a new schema which characterizes a situation. This work is part of the MORRIS project at UCLA [Dyer, 1983b].