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.
Summary form only given. Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This talk focuses on...
Security at major locations of economic or political importance or transportation or other infrastructure is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent full security coverage at all times; instead, these limited resources must be deployed intelligently taking into account differences in priorities of targets requiring security coverage,...
Summary form only given. Classical information retrieval is based around a user having an information need, formulated as a query, and a system which matches the query against 'documents', retrieving those most likely to be relevant. In some applications there are challenges because the 'documents' are not discrete objects but highly inter-connected, and IR research has for decades developed models...
In recent years there has been a great deal of research about personalization in information access. The main issue is to improve the quality of search by producing user-tailored results related to specific user needs. In this context two key research problems concerns how to model user preferences, and how to exploit them in effective personalisation processes. This talk will address the above problems,...
Summary form only given. Robots are more than just agents because they have a physical body and interact with the real world through their sensors and actuators. They also have limited power supply and often limited communications capabilities. In the talk we will explore how this affects the design of robot systems and address open challenges in design, validation, and performance evaluation of robot...
Due to its suitability, agent-based modeling is more and more often being applied in the domain of Ecology. The development of an agent-based model for the Ecological domain is however very difficult. Usually, many parameters need to be set to appropriate values and such values are not always available through fieldwork or in literature. This paper presents a generic approach to develop agent-based...
Agents in networks have two strategic choices: They can forward/process incoming service requests - or not, and they can establish additional contacts and maintain or terminate existing ones. In other words, an agent can choose both an action-selection and a link-selection strategy. So far, it is unclear which equilibria exist in such settings. We show that there are the following equilibria: First,...
Within service-oriented architectures, components need to discover and interact with suitable services, which in turn can be mapped to particular subtasks. Similarly, in online social communities users may wish to discover information related to a particular interest that matches their personal preferences. These tasks are difficult when the number of available resources to select from is large, and...
The allocation of m resources between n agents is an AI problem with a great practical interest for automated trading. The general question is how to configure the behavior of bargaining agents to induce a socially optimal allocation. The literature contains many proposals for calculating a social welfare but the Nash welfare seems to be the one which has the most interesting properties for a fair...
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making autonomous decisions that could significantly surprise and disappoint the operator. Inspired by previous research on making exploration-exploitation tradeoff decisions and on inverse reinforcement learning, we develop Expected...
Distributed Task Assignment is a convenient abstraction for load-balancing applications, workflow systems or supply-chain management. The topological features of such task networks are far from random but instead resemble that of small-worlds and scale-free networks. The agent's interaction is accordingly prescribed by this network structure. Simulating decentralised optimisation algorithms using...
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.