Abstract
Hypergames are an emerging tool for combining decision theoretic and game theoretic information. We explain a new approach to the standard two-player zero-sum single-stage normal game that maximizes expected gain while quantifying possible loss. A DTGT agent can use this formulation to select a plan based on its assessment of an opponent's intent, its assessment of an opponent's unpredictability and its utility model of the situation.
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Vane, R., Lehner, P. Using Hypergames to Increase Planned Payoff and Reduce Risk. Autonomous Agents and Multi-Agent Systems 5, 365–380 (2002). https://doi.org/10.1023/A:1015560508288
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DOI: https://doi.org/10.1023/A:1015560508288