Anytime Learning - The next Step in Organic Computing?

08/22/2018
by   Lucas Breitsameter, et al.
0

Anytime learning describes a relatively novel concept by which systems are able to acquire knowledge about a changing environment and adapt and behave accordingly to this. "Anytime" refers to the fact that the system is capable of returning imperfect results at any point in time, which allows it to remain functional even if a perfect solution could not be found within the necessary time frame. This paper focuses on illustrating the concept of anytime learning and examining how it relates to organic computing as a whole. Could anytime learning be the next step in organic computing?

READ FULL TEXT

page 1

page 6

research
08/28/2018

Comparison of Self-Aware and Organic Computing Systems

With increasing complexity and heterogeneity of computing devices, it ha...
research
05/05/2015

A Spatiotemporal Context Definition for Service Adaptation Prediction in a Pervasive Computing Environment

Pervasive systems refers to context-aware systems that can sense their c...
research
01/08/2018

A generalized concept-cognitive learning: A machine learning viewpoint

Concept-cognitive learning (CCL) is a hot topic in recent years, and it ...
research
06/21/2021

Computação: O vetor de transformação da sociedade

Society is changing, has always changed, and will keep changing. However...
research
09/08/2017

Imperfect Knowledge in Autonomous Urban Traffic Manoeuvres

Urban Multi-lane Spatial Logic (UMLSL) was introduced in [13] for provin...
research
07/18/2019

Imperfect Gaps in Gap-ETH and PCPs

We study the role of perfect completeness in probabilistically checkable...
research
10/05/2018

Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration

Memetic Computing is a subject in computer science which considers compl...

Please sign up or login with your details

Forgot password? Click here to reset