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Qualitative simulation with answer set programming

conference contribution
posted on 2024-11-03, 12:29 authored by Timothy WileyTimothy Wiley, Claude Sammut, Ivan Bratko
Qualitative Simulation (QSIM) reasons about the be- haviour of dynamic physical systems as they evolve over time. The system is represented by a coarse qualitative model rather than pre- cise numerical models. However, for large complex domains, such as robotics for Urban Search and Rescue, existing QSIM implementa- tions are inefficient. ASPQSIM is a novel formulation of the QSIM algorithm in Answer Set Programming that takes advantage of the similarities between qualitative simulation and constraint satisfaction problems. ASPQSIM is compared against an existing QSIM imple- mentation on a variety of domains that demonstrate ASPQSIM pro- vides a significant improvement in efficiency especially on complex domains, and producing simulations in domains that are not solvable by the procedural implementation.

Funding

Learning and planning with qualitative models

Australian Research Council

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History

Related Materials

  1. 1.
    ISBN - Is published in 9781614994190 (urn:isbn:9781614994190)
  2. 2.

Start page

915

End page

920

Total pages

6

Outlet

Proceedings of the 21st European Conference on Artificial Intelligence

Editors

Torsten Schaub, Gerhard Friedrich, Barry O'Sullivan

Name of conference

ECAI 2014: 21st European Conference on Artificial Intelligence

Publisher

IOS Press

Place published

Amsterdam, Netherlands

Start date

2014-08-18

End date

2014-08-24

Language

English

Copyright

© 2014 The Authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.

Former Identifier

2006095210

Esploro creation date

2020-06-22

Fedora creation date

2019-12-17

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