The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We study multi-type resource allocation in multi-agent system, where some constraints are enforced upon resource providers and users. These constraints are limitations of resource types and connection availabilities, which may make the collaboration between agents infeasible. We discuss the notion of distributed resource fairness under these constraints. Then we propose a game theory and reinforcement...
We propose a game theoretical approach to multi-type fair resource allocation algorithms in a distributed heterogeneous environment. Distributed approaches can benefit large scale computing systems, especially if the hardware computing resources in the system are organized in a decentralized manner as in federated clusters and cyber physical systems. The simulation results show that our approach has...
In a distributed environment in which multiple self-interested entities interact, knowing who to interact with is an important decision to make. Reputation is one metric to help with the decision. However, when there are a massive number of entities, a centralized reputation management doesn't scale up. We introduce bayesian reputation game where players have only private information about others...
The mainstream approach for community detection focuses on the optimization of a metric that measures the quality of a partition over a given network. Optimizing a global metric is akin to community assignment by a centralized decision maker. In liu of global optimization, we treat each node as a player in a hedonic game and focus on their ability to form fair and stable community structures. Application...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.