Intelligent Instruction of Dynamic Decision Making Tasks
Abstract
Very many of the high-level decision tasks in both the military and private sector involve a complex problem situation changing over time and at least partially in response to the decision maker's actions. Gaining proficiency in such tasks as tactical decision making, response to natural disasters, and hostage negotiation typically requires many years of training and experience. A simulation-based system, D3M (Dynamic Discrete Decision Making), provides a relatively realistic environment in which to learn and practice managing such operations. The instructional system has the capacities 1) to demonstrate exercises previously worked by experts and issue those experts' rationale as the exercise unfolds, 2) to adaptively produce practice exercises at a difficulty level appropriate to the individual learner, 3) to monitor the learner's actions in relation to critical-condition specifications defined by task experts, and 4) to maintain the status of learning objectives achieved by the learner.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2000
- Accession Number
- ADA374881
Entities
People
- Douglas M. Towne
Organizations
- University of Southern California