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Search-Based Estimation of Problem Difficulty for Humans

  • Matej Guid
  • Ivan Bratko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)

Abstract

The research question addressed in this paper is: Given a problem, can we automatically predict how difficult the problem will be to solve by humans? We focus our investigation on problems in which the difficulty arises from the combinatorial complexity of problems. We propose a measure of difficulty that is based on modeling the problem solving effort as search among alternatives and the relations among alternative solutions. In experiments in the chess domain, using data obtained from very strong human players, this measure was shown at a high level of statistical significance to be adequate as a genuine measure of difficulty for humans.

Keywords

human problem solving heuristic search problem difficulty 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Matej Guid
    • 1
  • Ivan Bratko
    • 1
  1. 1.Faculty of Computer and Information ScienceUniversity of LjubljanaSlovenia

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