Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm
The focus of this research is to introduce the concept of combined intelligent control (CIC) as an effective architecture for decision-making and control of intelligent agents and multi-robot sets. Basically, the CIC is a combination of various architectures and methods from fields such as artificia...
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2007-03-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/5711 |
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doaj-1a80d2922a714c5b8c84e868a306f2e22020-11-25T03:34:20ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142007-03-01410.5772/571110.5772_5711Combined Intelligent Control (CIC) an Intelligent Decision Making AlgorithmMoteaal Asadi ShirziM. R. Hairi YazdiCaro LucasThe focus of this research is to introduce the concept of combined intelligent control (CIC) as an effective architecture for decision-making and control of intelligent agents and multi-robot sets. Basically, the CIC is a combination of various architectures and methods from fields such as artificial intelligence, Distributed Artificial Intelligence (DAI), control and biological computing. Although any intelligent architecture may be very effective for some specific applications, it could be less for others. Therefore, CIC combines and arranges them in a way that the strengths of any approach cover the weaknesses of others. In this paper first, we introduce some intelligent architectures from a new aspect. Afterward, we offer the CIC by combining them. CIC has been executed in a multi-agent set. In this set, robots must cooperate to perform some various tasks in a complex and nondeterministic environment with a low sensory feedback and relationship. In order to investigate, improve, and correct the combined intelligent control method, simulation software has been designed which will be presented and considered. To show the ability of the CIC algorithm as a distributed architecture, a central algorithm is designed and compared with the CIC.https://doi.org/10.5772/5711 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Moteaal Asadi Shirzi M. R. Hairi Yazdi Caro Lucas |
spellingShingle |
Moteaal Asadi Shirzi M. R. Hairi Yazdi Caro Lucas Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm International Journal of Advanced Robotic Systems |
author_facet |
Moteaal Asadi Shirzi M. R. Hairi Yazdi Caro Lucas |
author_sort |
Moteaal Asadi Shirzi |
title |
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm |
title_short |
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm |
title_full |
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm |
title_fullStr |
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm |
title_full_unstemmed |
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm |
title_sort |
combined intelligent control (cic) an intelligent decision making algorithm |
publisher |
SAGE Publishing |
series |
International Journal of Advanced Robotic Systems |
issn |
1729-8814 |
publishDate |
2007-03-01 |
description |
The focus of this research is to introduce the concept of combined intelligent control (CIC) as an effective architecture for decision-making and control of intelligent agents and multi-robot sets. Basically, the CIC is a combination of various architectures and methods from fields such as artificial intelligence, Distributed Artificial Intelligence (DAI), control and biological computing. Although any intelligent architecture may be very effective for some specific applications, it could be less for others. Therefore, CIC combines and arranges them in a way that the strengths of any approach cover the weaknesses of others. In this paper first, we introduce some intelligent architectures from a new aspect. Afterward, we offer the CIC by combining them. CIC has been executed in a multi-agent set. In this set, robots must cooperate to perform some various tasks in a complex and nondeterministic environment with a low sensory feedback and relationship. In order to investigate, improve, and correct the combined intelligent control method, simulation software has been designed which will be presented and considered. To show the ability of the CIC algorithm as a distributed architecture, a central algorithm is designed and compared with the CIC. |
url |
https://doi.org/10.5772/5711 |
work_keys_str_mv |
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