Dynamic Games to Assess Network Value and Performance. - Gregory Calbert; Peter Smet; Jason B. Scholz; Hing-Wah Kwok (Australian Conference on Artificial Intelligence, 2003)

The Effects of Material, Tempo and Search Depth on Win-Loss Ratios in Chess. - Peter Smet; Greg Calbert; Jason B. Scholz; Don Gossink; Hing-Wah Kwok; Michael Webb (Australian Conference on Artificial Intelligence, 2003)

Combining Entropy Based Heuristics and Min-Max Search with Temporal Differences to Play Hidden State Games. - Gregory Calbert; Hing-Wah Kwok (FLAIRS, 2004)

Structural Abstraction Experiments in Reinforcement Learning. - Robert Fitch; Bernhard Hengst; Dorian Suc; Greg Calbert; Jason B. Scholz (Australian Conference on Artificial Intelligence, 2005)

The Value of Stealth in the Game of Chess. - Peter Smet; Don Gossink; Greg Calbert (Australian Conference on Artificial Intelligence, 2005)

Unravelling Bueno De Mesquita's Group Decision Model. - Jason B. Scholz; Gregory Calbert; Glen A. Smith (ICAART (1), 2011)

Using military operational planning system data to drive reserve stocking decisions. - Rajesh Thiagarajan; Mirza Arif Mekhtiev; Greg Calbert; Nikifor Jeremic; Don Gossink (ICDE Workshops, 2013)

Improving Military Demand Forecasting Using Sequence Rules. - Rajesh Thiagarajan; Mustafizur Rahman; Greg Calbert; Don Gossink (ACIIDS (2), 2014)

A Data Mining Approach To Improve Military Demand Forecasting1. - Rajesh Thiagarajan; Mustafizur Rahman; Don Gossink; Greg Calbert (J. Artif. Intell. Soft Comput. Res., 2014)