On the core of agents interactions in a spontaneous networked organization

In many dynamic open systems, social interaction plays an important role for the development of social capital. These interactions may not be secure from self-interested agents. For that, each agent must be capable of identifying reliable interaction allies. In light of this, the focus is on developing a different type of interaction among the agents inside a spontaneous networked organization (SNO). It helps to overcome such a problem through applying a broad range of service level agreements (SLAs). SLA and its role amongst the agents in the SNO will be discussed. We will present a policy of negotiation to accelerate the execution process of the fittest task provided by the organizer. Moreover, by applying collaborative filtering (CF), we examine different types of data to show how agents interact implicitly or explicitly and how these interactions affect the social capital. This method obtains a high performance of interaction and can help to control the spontaneous flow of behaviors and knowledge to be more accurate when agents communicate rationally since trust is recorded in such a distributed organization. © 2013 Published by Elsevier B.V. Selection and/or peer review under responsibility of American Applied Science Research Institute