Predictive Analytics Using a Blackboard-Based Reasoning Agent

Significant increase in collected data for investigative tasks and the increased complexity of the reasoning process itself have made investigative analytical tasks more challenging. These tasks are time critical and typically involve identifying and tracking multiple hypotheses; gathering evidence to validate the correct hypotheses and eliminating the incorrect ones. In this paper we specifically address predictive tasks that are concerned with predicting future trends. We describe RESIN, an AI blackboard-based agent that leverages interactive visualizations and mixed-initiative problem solving to enable analysts to explore and pre-process large amounts of data in order to perform predictive analytics. Our empirical evaluation discusses the advantages and challenges of predictive analytics in a complex domain like intelligence analysis.

• Type: Journal
• Year: 2010
• Where: IAT
• Authors: Jia Yue, Anita Raja, William Ribarsky
• Keywords: AI Blackboard-based Agent, IAT 2010, Intelligent Agents, Investigative Analytical Tasks, Predictive Analytics