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The intergeneric protoplasts fusion was carried between A. niger and T. viride by natural self fusion and using PEG as fusion agent.
The local fusion agent is dynamically created by the fusion center agent and involves several surveillance sensor agents working in a coalition.
In the work presented here we add a new autonomous agent, called the local fusion agent, to the CS-MAS architecture, addressing specific problems of on-line sensor alignment, registration, bias removal and data fusion.
We show how the inclusion of this new dynamic local fusion agent guarantees that, in a video-surveillance system, objects of interest are successfully tracked across the whole area, assuring continuity and seamless transitions.
In this case, the fusion process is divided into two layers: (i) a global layer in the fusion center, which initializes the coalitions and (ii) a local layer within coalitions, where a local fusion agent is dynamically instantiated.
There are several types of autonomous agent: surveillance sensor agents, a fusion center agent, a local fusion agent, interface agents, record agents, planning agents, etc. Autonomous agents differ in their ability to carry out a specific surveillance task.
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It has been postulated that SNAREs are dual adhesion-fusion agents.
This quantifies the notion of SNAREs as dual adhesion-fusion agents.
These virtual links produce: (a) fusion of agents, (b) division of agents and c) multiplication of agents.
The fusion planning agent is to trigger a sequence of algorithms in the algorithm-pool and discover their required data attributes are in datasets in the data-pool.
To a specific business objective or expected features from the data mining engine, an objective oriented fusion management agent is designated for fusion planning which is based our human-like cognitive metaphor model [30].
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