Managing resources in large scale distributed systems --- "Computational Grids", is a complex and time sensitive process. The computational resources being shared vary in type and complexity, and resource properties can change over time. An approach based on interacting software agents is presented, where each resource manager and resource requester is modelled as a BDI (Belief-Desire-Intention) agent. The proposed approach can help resolve conflicts that arise during resource discovery and application scheduling, and enables site autonomy to be maintained. The modelling and detection of conflicts is important in the context of this work, to enable each resource and application to respond to changes in the environment. We propose a BDI based framework that can be used to model agents that represent resources and applications --- and outline properties that each must maintain.
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