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MANET is a multi-hop network comprised of nodes that need to work in collaboration with each other for effective routing. But unfortunately, there is possibility of some nodes misbehaving for their own interests and disturbing the network. Therefore, reliability among nodes is very important in the network. Uncertainty is of prior importance, which deeply impacts a node's anticipation of others behavior...
A key frontier in artificial intelligence systems is the ability to represent and reason about culture, a notoriously difficult notion to define and operationalize. This paper presents a framework for representing, simulating, and reasoning on nuanced cultural worldviews, including culturally-mediated perception and judgment simulation, grounded in the INTELNET nuanced Energy-Based Knowledge Representation...
An increasingly important AI frontier is the ability to represent worldviews, culture, values, and other nuanced structures, and to simulate the effects of these on perception, emotion/affect, judgment, and opinion formation. Such information, however, is notably difficult to model and represent, due to its fine-grained, diffuse nature. Reasoning is also highly challenging in these domains. This paper...
Folklore and beliefs are strong in the software practitioners' community. Software engineering is a communication intensive activity. Software engineers are innovation driven and regularly use automated resources to share ideas, new paradigms and approaches to support and improve their practices. This information flow generates technical folklore and beliefs (that do not have a formal trial basis)...
This study attempts to explore Chinese students' beliefs and attitude towards Computer Assisted language learning (CALL) and the difference in attitude and beliefs towards CALL between good language learners (GL) and poor language learners (PL). The author designed the questionnaire composed by two parts — CALL Belief and Information Input Channel and Load via computers and internet. 100 valid questionnaires...
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