A Mobile Ad Hoc Network (MANET) adopts a decentralized communication architecture which relies on cooperation among nodes at each layer of the protocol stack. Its reliance on cooperation for success and survival makes the ad hoc network particularly sensitive to variations in node behavior. Specifically, for functions such as routing, nodes which are limited in their resources may be unwilling ...

Classical oligopoly theory has strong analytical foundations but is weak in capturing the operating environment of oligopolists and the available knowledge they have for making decisions, areas in which the management literature is relevant. We use agent-based models to simulate the impact on firm profitability of policies that oligopolists can pursue when setting production levels. We develop ...

permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. A Decision Making and better Patient Care. Human deliberations and Single observations have been highlighted as important concepts in building a comprehensive paradigm for individual patient management [2,3]. A review of the quality and direction of current body o...

This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).

With the increased demand for distributed simulation to support large-scale modeling and simulation applications, much research has focused on developing a suitable framework to support simulation across a heterogeneous computing network. Middleware based solutions have dominated this area for years, however, they lack the flexibility for model partitions and dynamic repartition due to their in...

Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to science end users, such data must be organized in its layout, indexed, sorted, and otherwise manipulated for subsequent data presentation, visualization, and detailed analysis. In addition, scientists desire to gain insigh...

Root cause analysis for software systems is a challenging diagnostic task, due to the complexity emanating from the interactions between system components and the sheer size of logged data. This diagnostic task is usually assisted by human experts who create mental models of the system-at-hand, in order to generate hypotheses and conduct the analysis. In this paper, we propose a root cause anal...

Component-based software development is a promising set of technologies designed to move software creation from its current, labor-intensive, craft-like approach to a more modern, reusecentered style. However, a lesson learned from previous radical software process innovations is that a strong technology alone is generally insufficient for successful adoption. In order for gains to be realized ...

A component-based framework is being developed which facilitates software re-use and provides faster integration of laboratory automation systems. Implementation of laboratory automation systems by the traditional approach usually takes significant development time since both module-level and application-level software are written custom to a particular application. In addition, modification an...

Collaborative working environments for distance education sets a goal of convenience and an adaptation into our technologically advanced societies. To achieve this revolutionary new way of learning, environments must allow the different participants to communicate and coordinate with each other in a productive manner [1]. Productivity and efficiency is obtained through synchronized communicatio...