Knowledge sharing, along with its potential predictors, has been a popular research topic. This research extends prior research by examining potential predictors of knowledge sharing together within a more comprehensive model with two additional contexts: the type of recipient of the knowledge is the recipients of intraorganizational broadcast media, and the type of knowledge sharing behavior (...

Interactions between internet users are mediated by their devices and the common support infrastructure in data centres. Keeping track of causality amongst actions that take place in this distributed system is key to provide a seamless interaction where effects follow causes. Tracking causality in large scale interactions is difficult due to the cost of keeping large quantities of metadata; eve...

Design is conceptualized as an ill-structured process that requires diverse knowledge that is hard to acquire. Systematic analysis of design and the knowledge requirements is has in general and in the context of bridge design shows that the knowledge needed can be semi-automatically acquired by using machine learning techniques. Although there are limitations to the approach, preliminary result...

A critical question about the nature of human learning is whether it is an all-or-none or a gradual, accumulative process. Associative and statistical theories of word learning rely critically on the later assumption: that the process of learning a word's meaning unfolds over time. That is, learning the correct referent for a word involves the accumulation of partial knowledge across multiple i...

Multiple antenna techniques are used to enhance wireless links and therefore have been studied extensively. Many practical systems differ from the ideal schemes discussed in the literature. One example is the lack of precise channel information at the transmitter. We evaluate analytically the performance of several multiple input multiple output (MIMO) techniques that use partial channel knowle...

Code-based cryptographic schemes are promising candidates for post-quantum cryptography since they are fast, require only basic arithmetic, and because their security is well understood. While most analyses of security assume that an attacker does not have any information about the secret key, we show that in certain scenarios an attacker can gain partial knowledge of the secret key. We present...

The identification of the source of a fault (“diagnosis”) of orchestrated Web service process executions is a task of growing importance, in particular in automated service composition scenarios. If executions fail because activities of the process do not behave as intended, repair mechanisms are envisioned that will try re-executing some activities to recover from the failure. We present a dia...

In reinforcement learning an agent uses online feedback from the environment and prior knowledge in order to adaptively select an effective policy. Model free approaches address this task by directly mapping external and internal states to actions, while model based methods attempt to construct a model of the environment, followed by a selection of optimal actions based on that model. Given the...

Information systems, providing information about a set of objects regarding a set of attributes, are extended to multi-agent partial knowledge information systems (MPISs). MPISs also account for missing information. A logic which is sound and complete for MPISs is presented along with its dynamic version. The latter accommodates ‘information updates’.

The number right (NR) method, in which students pick one option as the answer, is the conventional method for scoring multiple-choice tests that is heavily criticized for encouraging students to guess and failing to credit partial knowledge. In addition, computer technology is increasingly used in classroom assessment. This paper investigates the effect of computer-adaptive assessment software ...