Sentence examples for autonomic intelligence from inspiring English sources

This means chosing which components should be SCC or not, how to organize and compose SCCs in the hierarchy, where to place the autonomic intelligence, and how to relate the monitored and controlled components with the autonomic management.

The three pathways constructed in correspondence with cross-impact analysis represent each the possible combination for smart robots using either imperative, autonomic, and cognitive computational intelligence (Pathway A, yellow line), the generic abstract intelligence mode (Pathway B, red line) or an alternative technology of abstract thinking (Pathway C, blue line).

Pathway A represents a smart robot that runs imperative, autonomic, and cognitive computational intelligence for abstract thinking.

Establishing the foundations that enable the systematic design, development, and evolution of systems with self-management capabilities has been the focus of many research efforts in areas such as self-adaptive systems, autonomic computing, and artificial intelligence (Salehie and Tahvildari 2009).

Last, we have to decide where the intelligence of the autonomic control will be.

This process, which spans from acquiring information to check for relevant changes, to actually enacting adaptations, is known as the control or feedback loop model in the literature associated to control theory, autonomic computing, robotics or artificial intelligence (Gat 1998; Nilsson 1980).

For example, biological risk factors such as neurochemicals (e.g., low central serotonin turnover), under arousal of the autonomic nervous system, low child intelligence, and learning difficulties (e.g., reading disorder) are considered to be individual risk factors.

And while IBM continues to conduct research into artificial intelligence, Dr Morris does not link autonomic computing to such work.

The series contains monographs, lecture notes and edited volumes in the Internet of Things research and development area, spanning the areas of wireless sensor networks, autonomic networking, network protocol, agent-based computing, artificial intelligence, self organizing systems, multi-sensor data fusion, smart objects, and hybrid intelligent systems.

Even so, we believe that the application of Stream Reasoning and Semantic Web – two areas where intelligence lies at the very core – to Autonomic Clouds is a promising direction.

While machine learning has been a central topic in Artificial Intelligence for decades, the use of reinforcement learning in autonomic applications has been getting renewed attention [19].