The problem of scheduling a parallel application on to heterogeneous distributed computing environment is one of the most challenging problems in a grid. Two main problems arise: how to efficiently discover resources capable of providing the demanded computing services and how to schedule them. We propose a new fully decentralized solution for both resource brokering and scheduling in a grid based on a peer-to-peer model, which consider resource brokering and scheduling as parts of a single activity, in order to achieve high resources utilization and low response times. The proposed scheduling solution uses the relationship among neighbours to let each node learning structural and functional information about the resource-sharing environment. This mechanism makes the system an intelligent organism, characterized by the capability of self-learning about its environment.