A Conceptual Framework for Agent-Based Information Resource Management

The information systems manager is often constrained by maintaining a certain threshold amount of memory for an organization. However, this requires more than technical and managerial resolutions, encompassing knowledge management for the group, eliciting tacit knowledge from the end users, and pattern and time series analyses of utilization for various applications. This paper proposes a framework for building an automated intelligent agent for memory management under the client-server architecture. The emphasis is on collecting the needs of the organization and acquiring the application usage patterns for each client involved in real time. Due to dynamic nature of the tasks, incorporation of a neural network architecture with tacit knowledge base is