This paper describes some results of research on associate systems: knowledge-based systems that flexibly and adaptively support their human users in carrying out complex, time-dependent problem-solving tasks under uncertainty. Based on principles derived from decision theory and decision analysis, a problem-solving approach is presented which can overcome many of the limitations of traditional...

This work uses the language of game theory to analyze negotiation among automated agents in cooperative domains. However, while game theory generally deals with negotiation in continuous domains and among agents with full information, this research considers discrete domains and the case where agents have only partial information, assumptions of greater interest for artificial intelligence.

The authors describe their design for an Internet-based learning environment called BeyondShare in which students are encouraged to gain a deep understanding of the learning material, reflect on the quality of individual constructions through sharing and peer evaluation, and synthesize cross-unit knowledge by integrating selfand peer-produced constructions. A sharing typology may consist of bas...

EL-HAJ MAHMOUD, ALI AHMAD. Hard-Real-Time Multithreading: A Combined Microarchitectural and Scheduling Approach. (Under the direction of Dr. Eric Rotenberg). Simultaneous Multithreading (SMT) enables fine-grain resource sharing of a single superscalar processor among multiple tasks, improving cost-performance. However, SMT cannot be safely exploited in hard-real-time systems. These systems requ...

one of organizations requirements is knowledge sharing among organization persons in the era of learning. hence, the identification of factors affecting the implementation of knowledge sharing is very important. in this study, the relationship between the five factor model personality dimensions (extraversion, adaptation, consciousness, neuroticism, openness to experience) and knowledge sharing...

Object-oriented programming languages are being widely adopted as one of the most powerful languages due their flexibility and reusability. However, these languages suffer from memory mismanagement that could be critical especially in real-time and embedded systems. Automatic memory management through garbage collector handles this problem. Concurrent garbage collection based on sporadic or def...

BACKGROUND Treatment success rates for multidrug-resistant tuberculosis (MDR-TB) in South Africa remain close to 50%. Lack of access to timely, decentralized care is a contributing factor. We evaluated MDR-TB treatment outcomes from a clinical cohort with task-sharing between a clinical nurse practitioner (CNP) and a medical officer (MO). METHODS We completed a retrospective evaluation of out...

Multi-task learning is a paradigm shown to improve the performance of related tasks through their joint learning. However, for real-world data, it is usually difficult to assess the task relatedness and joint learning with unrelated tasks may lead to serious performance degradations. To this end, we propose a framework that groups the tasks based on their relatedness in a subspace and allows a ...

Knowledge management literature offers inconsistent findings on the moderating effects of employee’s exchange ideology (EI) on the relationship between organizational instrumentality (e.g. reward) and employee’s knowledge sharing behaviour (KS). This study contributes to the literature by examining how interaction effect of EI and instrumentality (INS) depends on the task environment variable, ...

the aim of current research is to determine how factors of job attitude, subjective norms regarding knowledge sharing, and perceived behavioral controls affect knowledge sharing behavior, considering the role of organizational citizenship behavior as a mediating factor. to achieve this purpose, the research data was collected by providing research questionnaire in 384 members of the hospital st...