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We investigate a learning strategy for a swarm of autonomous robots. We identify the robots with cognitive agents and describe a model of naïve creatures learning to cross a highway. The creatures use a type of “observational social learning”, in which each creature learns from observing the outcomes of the other creatures that have crossed the highway. The learning outcomes are influenced by many...
Research in Information Retrieval (IR) experienced a paradigm shift from first having too few documents to search from to now having way too many of them. When users have trouble finding relevant documents, they tend to become frustrated and give up searching. Scholars have attempted to reduce instances of search frustration via query expansion, information filtering, and incorporating user feedback...
Modeling complex real world scenarios require representing and analyzing information from multiple domains including social, economic and political aspects. However, most of the current frameworks in social networks are not generic enough to incorporate multi-domain information or to be applied in different scenarios. Current frameworks also make simplifications in other modeling aspects such as incorporating...
Services discovery based on syntactic matching cannot adapt to the open and dynamic environment of the web. In order to realize service selection for supporting QoS constraints, a Four-Level Matching Model for Semantic Web Service based on QoS Ontology and the QoS ontology for web service are presented. The Matching Engine works with the concepts of domain ontology and QoS ontology, it executes Application...
When decisions need to be made in government, the intelligence community (IC) is tasked with analyzing the situation. This analysis is based on a huge amount of information and usually under severe time constraints. As such, it is particularly vulnerable to attacks from insiders with malicious intent. A malicious insider may alter, fabricate, or hide critical information in their analytical products,...
In grid market, there is an information asymmetry problem between resource providers and users. In former approaches, users forecast resources' reliabilities to select resources based on historical feedbacks. Whether the feedbacks are credible is not inconsideration. An approach for resource selection is proposed that inspirits truthful feedback and estimates resource providers' reputation value,...
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