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A pattern encapsulates the abstract notion of agent mobility.
The collective awareness model is tightly coupled with the agent perception model for updating the decision parameters leading towards adaptation in agent mobility behavior.
Wang et al. presented a data gathering model by agent mobility, where the station is stable and the agents distributed among the station are moving around the circle [27].
Because Hadoop requires large memory and storage for data replication and it is a single master,4 Essa et al. [91] presented a mobile agent based framework to solve these two problems, called the map reduce agent mobility (MRAM).
Towards this, we propose VERSAG, a novel agent framework and architecture which combines agent mobility with the ability to dynamically change the internal structure and capabilities of agents and leads to highly versatile and lightweight software agents.
We present a general purpose agent-based architecture which is able to manage and execute independent parallel tasks through one or several heterogeneous computer networks – or even Internet nodes – exploiting state of the art agent mobility capabilities.
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Our simulations show that the agents' mobility significantly affects the outcomes of the system.
We use an agent-based model to analyze the effects of spatial heterogeneity and agents' mobility on social ecological outcomes.
Among the available options are fluorescent labels, biotinylated agents, mobility shift, and radioactive compounds [20], [21], [22], [23], [24], [25], [26].
Furthermore, for group II introns, the spliced-out ribozyme is the agent of mobility, integrating into the DNA target [ 48].
In the presence of the bacteriostatic agent, the mobility of insertion sequence flanking omp genes can be attenuated and will result in disruption of the omp genes.
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