Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior

10/15/2019
by   Guillaume Escamocher, et al.
0

We present in this paper our solver for logic grid puzzles. The approach used by our algorithm mimics the way a human would try to solve the same problem. Every progress made during the solving process is accompanied by a detailed explanation of our program's reasoning. Since this reasoning is based on the same heuristics that a human would employ, the user can easily follow the given explanation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/11/2020

A framework for step-wise explaining how to solve constraint satisfaction problems

We explore the problem of step-wise explaining how to solve constraint s...
research
04/03/2023

Explanation: from ethics to logic

When a decision, such as the approval or denial of a bank loan, is deleg...
research
01/04/2014

A stochastic model for Case-Based Reasoning

Case-Bsed Reasoning (CBR) is a recent theory for problem-solving and lea...
research
11/24/2022

MRHS multigrid solver for Wilson-clover fermions

We describe our implementation of a multigrid solver for Wilson-clover f...
research
10/01/2021

Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid

The analysis of remote discussions is not yet at the same level as the f...
research
12/30/2019

Boldly Going Where No Prover Has Gone Before

I argue that the most interesting goal facing researchers in automated r...
research
11/21/2013

Dealing with the Fuzziness of Human Reasoning

Reasoning, the most important human brain operation, is charactrized by ...

Please sign up or login with your details

Forgot password? Click here to reset