A Multi Agent System Application to Support Communities of Practice: Preliminary Analysis
نویسندگان
چکیده
This paper presents a preliminary analysis for applying Multi Agent Systems to Communities of Practice. In this paper, we present some basic issues on Communities of Practice including a definition and some concepts, namely those of identity, trajectory and multi-membership. We analyze the adequacy of the Multi-Agent Systems technology to support Communities of Practice. We show how some characteristics of Communities of Practice can suggest different applications of Multi-Agent Systems, exploring one of the identified possibilities, more specifically the one related with a member’s trajectory into and inside a community.
منابع مشابه
A Two-Layer Multi-agent Architecture to Facilitate Knowledge Sharing within Communities of Practice
This paper presents a two-layer multi-agent architecture designed to support communities of practice in organizations which are concerned with knowledge sharing. The main goal of this proposal is to facilitate knowledge exchange in organizations whose employees are organized into communities. In order to test the architecture, a prototype with which to recommend documents in communities of prac...
متن کاملA multi agent method for cell formation with uncertain situation, based on information theory
This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...
متن کاملLoad-Frequency Control: a GA based Bayesian Networks Multi-agent System
Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...
متن کاملIdentifying overlapping communities using multi-agent collective intelligence
The proposed algorithm in this research is based on the multi-agent particle swarm optimization as a collective intelligence due to the connection between several simple components which enables them to regulate their behavior and relationships with the rest of the group according to certain rules. As a result, self-organizing in collective activities can be seen. Community structure is crucial...
متن کاملFlood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique
Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...
متن کامل