A hybrid intelligent autonomous model developed using multi-agent systems
Date
2013
Authors
Ghosh, A.
Nafalski, A.
Tweedale, J.
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Journal article
Citation
International journal of electronics and electrical engineering, 2013; 1(1):57-60
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Abstract
Complex problem solving and decision making requires integrating two or more intelligent techniques as no algorithm or technique are sufficient to completely solve a problem. The systems developed by integrating different hard computing and soft computing techniques to solve problem are called Hybrid Systems. This paper presents the design, development and implementation of a hybrid intelligent autonomous model. The model is developed in phases, which comprises of different individual agents. This model will be used to analyse workstress related data in real time.
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Link to a related website: http://pdfs.semanticscholar.org/ca4a/93e2c5c6ac49d735a1cccbebe1c9b80b7be5.pdf, Open Access via Unpaywall