Open Access
ARTICLE
Formal Modelling of Real-Time Self-Adaptive Multi-Agent Systems
Awais Qasima, Syed Asad Raza Kazmib
a,bDepartment of Computer Science, Government College University Lahore, Pakistan
* Corresponding Author: Awais Qasim,
Intelligent Automation & Soft Computing 2019, 25(1), 49-63. https://doi.org/10.31209/2018.100000012
Abstract
The paradigm of multi-agent systems is very expressive to model distributed
real-time systems. These real-time multi-agent systems by their working nature
have temporal constraints as they need to operate in pervasive, dynamic and
unpredictable environments. To achieve better fault-tolerance, they need to
have the ability of self-adaptivity making them adaptable to the failures.
Presently there is a lack of vocabulary for the formal modelling of real-time
multi-agent systems with self-adaptive ability. In this research we proposed a
framework named SMARTS for the formal modelling of self-adaptive real-time
multi-agent systems. Our framework integrates MAPE-K interfaces, reflection
perspective and unification with distribution perspective into the SIMBA agent
architecture. For a precise semantic description of the constructs of our
framework, we have used Timed Communicating Object-Z language.
Keywords
Cite This Article
A. Qasim and S. A. R. Kazmi, "Formal modelling of real-time self-adaptive multi-agent systems,"
Intelligent Automation & Soft Computing, vol. 25, no.1, pp. 49–63, 2019. https://doi.org/10.31209/2018.100000012