This work deals with Interaction Protocol (IP) adaptation at build time for coordination in the context of Crisis Management Processes (CMP). CMP refer to the coordination of several partners in a dynamic and unstable...
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ISBN:
(纸本)9783319243993;9783319243986
This work deals with Interaction Protocol (IP) adaptation at build time for coordination in the context of Crisis Management Processes (CMP). CMP refer to the coordination of several partners in a dynamic and unstable context. One possible way to deal with this coordination is the use of IP. In order to guarantee an efficient use of IP, we need to adapt them. In previous work, we proposed an MDA (Model Driven Architecture) framework for IP adaptation based on version and context notions. In this paper, we focus on the PIM (Platform-Independent Model) level of the proposed MDA framework. More precisely, we propose an extension of auml (Agent UML) sequence diagram meta-model in order to specify graphically the contextualized versioned IP. We also give two examples of contextualized versioned IP specified with extended auml. Finally, we illustrate the IP adaptation based coordination through a well-known case study "Air Crash Management Process".
In this paper, we present a multi agent architecture based on Incremental Dynamic Case-Based Reasoning (IDCBR). Our approach inherits from Model Driven Architecture (MDA [11]), which aims to design, develop and implem...
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ISBN:
(纸本)9781450362894
In this paper, we present a multi agent architecture based on Incremental Dynamic Case-Based Reasoning (IDCBR). Our approach inherits from Model Driven Architecture (MDA [11]), which aims to design, develop and implement models or meta-models of multi-agent systems that we build from auml. We have designed a generic and scalable class diagram to develop complex multi-agent systems [3] for Decision Support System based on IDCBR to predict and anticipate a dynamic situation. The source code of the models is generated by an open source tool called AndroMDA [13]. The model and source code will be used to design and develop applications to implement and simulate multi-agent models for Management of Common Renewable Resources [4].
Increasing the number of cars in cities creates traffic congestion. This is due to static management of traffic lights. Reinforcement Learning RL algorithm is an artificial intelligence approach that enables adaptive ...
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ISBN:
(纸本)9781538662205
Increasing the number of cars in cities creates traffic congestion. This is due to static management of traffic lights. Reinforcement Learning RL algorithm is an artificial intelligence approach that enables adaptive real-time control at intersections. In this research paper, we purpose a new architecture based on multi-agent systems and RL algorithm in order to make the signal control system more autonomous, able to learn from its environment and make decisions to optimize road traffic.
Mobile Ad hoc Network consists of some nodes that are stand randomly in operational environment. Because nodes are without any predefined infrastructure and mobility then there are susceptible to intrusions and attack...
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ISBN:
(纸本)9783319302980;9783319302966
Mobile Ad hoc Network consists of some nodes that are stand randomly in operational environment. Because nodes are without any predefined infrastructure and mobility then there are susceptible to intrusions and attacks. Securing is an important field in this type of network. Intrusion Detection Systems (IDSs) may act as defensive mechanisms, since they monitor network activities in order to detect malicious actions performed by intruders, and then initiate the appropriate countermeasures. IDS for MANETs have attracted much attention recently and thus, there are many publications that propose new IDS solutions or improvements to the existing. In this paper, we propose a new IDS architecture for MANETs, this architecture is a combination model hierarchical based on clusters and cooperation model based on a multi-agent system (SMA). In this paper, we are used auml language to describe the operation of different agents of our architecture.
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