Distributed Search Systems with Self-Adaptive Organizational Setups
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 4
Abstract
This paper studies the effects of learning-induced alterations of distributed search systems’ organizations. In particular, scenarios where alterations of the search-systems’ organizational setup are based on a form of reinforcement learning are compared to scenarios where the organizational setup is kept constant and to scenarios where the setup is changed randomly. The results indicate that learning-induced alterations may lead to high levels of performance combined with high levels of efficiency in terms of reorganization-effort. However, the results also suggest that the complexity of the underlying search problem together with the aspiration level (which drives positive or negative reinforcement) considerably shapes the effects of learning.
Authors and Affiliations
Friederike Wall
Keywords
Related Articles
- EP ID EP329269
- DOI 10.9781/ijimai.2017.4411
- Views 154
- Downloads 0
Analysis of Security Mechanisms Based on Clusters IoT Environments
Internet of things is based on sensors, communication networks and intelligence that manages the entire process and the generated data. Sensors are the senses of systems, because of this, they can be used in large quanti...
Securing Cloud Computing from Different Attacks Using Intrusion Detection Systems
Cloud computing is a new way of integrating a set of old technologies to implement a new paradigm that creates an avenue for users to have access to shared and configurable resources through internet on-demand. This syst...
Editor’s Note
Editorial
Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network
Electroencephalogram signals (EEG) have always been used in medical diagnosis. Evaluation of the statistical characteristics of EEG signals is actually the foundation of all brain signal processing methods. Since the cor...
A Solution to the N-Queens Problem Using Biogeography-Based Optimization
Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms. The BBO algorithm...