Both Simulation and Artificial Intelligence try to model reality for problem solving and decision making. In this paper, we propose a framework for integrating the two areas by uncovering fundamental similarities between them and opportunities for combining them which can be mutually useful. The framework also shows the potential gains for Simulation by applying Artificial Intelligence concepts (mainly expert systems) to assist in the simulation process and reveals in an organised way the potential gains for Artificial Intelligence by applying concepts derived from Simulation.
Description
A framework for Integrating Artificial Intelligence and Simulation | SpringerLink
%0 Journal Article
%1 Doukidis1994
%A Doukidis, Georgios I.
%A Angelides, Marios C.
%D 1994
%J Artificial Intelligence Review
%K ai simulation
%N 1
%P 55--85
%R 10.1007/BF00851350
%T A framework for Integrating Artificial Intelligence and Simulation
%U http://dx.doi.org/10.1007/BF00851350
%V 8
%X Both Simulation and Artificial Intelligence try to model reality for problem solving and decision making. In this paper, we propose a framework for integrating the two areas by uncovering fundamental similarities between them and opportunities for combining them which can be mutually useful. The framework also shows the potential gains for Simulation by applying Artificial Intelligence concepts (mainly expert systems) to assist in the simulation process and reveals in an organised way the potential gains for Artificial Intelligence by applying concepts derived from Simulation.
@article{Doukidis1994,
abstract = {Both Simulation and Artificial Intelligence try to model reality for problem solving and decision making. In this paper, we propose a framework for integrating the two areas by uncovering fundamental similarities between them and opportunities for combining them which can be mutually useful. The framework also shows the potential gains for Simulation by applying Artificial Intelligence concepts (mainly expert systems) to assist in the simulation process and reveals in an organised way the potential gains for Artificial Intelligence by applying concepts derived from Simulation.},
added-at = {2017-04-29T16:53:32.000+0200},
author = {Doukidis, Georgios I. and Angelides, Marios C.},
biburl = {https://www.bibsonomy.org/bibtex/219d04dda236da5a4e7592a9eb2d4f5eb/mardukasoka},
description = {A framework for Integrating Artificial Intelligence and Simulation | SpringerLink},
doi = {10.1007/BF00851350},
interhash = {7f175ce43cdc3c37efa038de41588165},
intrahash = {19d04dda236da5a4e7592a9eb2d4f5eb},
issn = {1573-7462},
journal = {Artificial Intelligence Review},
keywords = {ai simulation},
number = 1,
pages = {55--85},
timestamp = {2017-04-29T16:53:32.000+0200},
title = {A framework for Integrating Artificial Intelligence and Simulation},
url = {http://dx.doi.org/10.1007/BF00851350},
volume = 8,
year = 1994
}