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Many applications of intelligent agents, such as the control of ambient intelligence environments and autonomous intelligent robotic systems, require the processing of information coming in from many available sensors to produce adequate output responses in changing scenarios.
A major goal of Artificial Intelligence (AI) is to create autonomous, intelligent machines, or robots, that can sense their surroundings, reason about what they have perceived, plan their next actions, and act accordingly to accomplish their tasks.
It is proposed that an appropriate model for such provision is in the form of a set of interacting autonomous intelligent agents, possessing different problem-solving capabilities and differing degrees of intelligence.
Autonomous intelligent agents often must complete non-Markovian sequential tasks, which require complex recurrent neural controllers.
Add "autonomous intelligent agents" to cruise the Internet, shopping for you, even waving your bid in "virtual auctions".
Autonomous intelligent agents provide an important technology for accomplishing personalization in VLEs.
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The idea of achieving the goal is through autonomous and intelligent mobile physical services or robots as services to form local pool of intelligent devices and that can make local decisions without communicate with the cloud.
SenseTime is currently working on developing autonomous driving, intelligent medical treatment, and deep learning hardware optimization.
This paper proposes a context-aware coordinated web service mechanism for autonomous and intelligent service provision.
Constructing systems capable of flexible, autonomous, and intelligent behavior is an inherently interdisciplinary and challenging task.
Advanced on-machine measurement (OMM) is evolving as the key enabling technology for autonomous and intelligent manufacturing.
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