The Role of Blackboard-Based Reasoning and Visual Analytics in RESIN's Predictive Analysis

Knowledge gathering and investigative tasks in open environments can be very complex because the problemsolving context is constantly evolving, and the data may be incomplete, unreliable and/or conflicting. This paper significantly extends our previous work on a mixedinitiative agent by making it capable of assisting humans in foraging task analysis using AI blackboard-based reasoning, visualizations and a mix-initiative user interface. The agent is equipped with the ability to adapt its processing to available resources, deadlines and its current problem-solving context.

• Type: Conference
• Year: 2008
• Where: IAT
• Authors: Dingxiang Liu, Jia Yue, Xiaoyu Wang, Anita Raja, William Ribarsky
• Keywords: AI Blackboard-based Reasoning, Current Problem-solving Context, IAT 2008, Intelligent Agent, Unreliable And/or Conflicting