Scoping Report: AI-Driven Wargame Replicator
Ruibiao J. Guo, David Unrau, Joe Armstrong · 2010
Abstract : The focus of this project was to assess potential improvements to the current wargame replication system used by the Land Force Operational Research Team (LFORT) in DRDC CORA through the integration of human interactors' intentions. The project, based on the analysis of problems in current wargame replication systems, reviews competing Artificial Intelligence (AI) and Human Behaviour Representation (HBR) approaches, tools and systems applicable to the wargame replication domain. For each identified approach, the main concepts, advantages, limitations and application areas are briefly described. The typical problems in wargame replications are categorized widely as situation / pattern assessment and recognition, knowledge discovery, decision making and planning. There is no single AI or HBR tool that is appropriate for resolving all of these problems. This project proposes a framework-based solution by combining human science results, existing approaches and human behaviour moderators to solve various problems in wargame replications.