Multi-agent systems [16] allow to build complex systems composed of multiple interacting intelligent agents.
In a multi-agent system, the multiple distributed intelligent agents interact with each other to solve problems.
There are going to be multiple successful intelligent agents, each with access to different sets of data and with different specialized skill areas.
A multi-agent system (MAS) is a self-possessed system of multiple networking, intelligent agents contained by an environment (cloud system CS).
Below we will also encounter the use of dynamic logic in artificial intelligence when specifying intelligent agents.
This paper presents a methodology that, for the problem of scheduling of a single server on multiple products, finds a dynamic control policy via intelligent agents.
The detection is made more efficient and effective by using collaborative intelligent agents, relevant knowledge base and combination of multiple detection sensors.
This paper investigates the efficiency and benefit of a mobile transient network where multiple nodes collaborate, offering a multihomed network with community services by means of intelligent agents.
Because their intelligence is artificial, there are limitations in the ability of intelligent agents to fully understand speech patterns.
