arXiv · 2109.03092
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems
Abstract
Deception is virtually ubiquitous in warfare, and should be a central consideration for military operations research. However, studies of agent behaviour in simulated operations have typically neglected to include explicit models of deception. This paper proposes that a computational model that approximates the human deceptive planning process would enable the authentic representation of strategic deception in multi-agent systems. The proposed deceptive planning model provides a framework for studying, explaining, and discovering deceptive behaviours, enabling the generation of novel solutions to adversarial planning problems.
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Lyndon Benke, Michael Papasimeon, Tim Miller. 2021-09-07. Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems. https://arxiv.org/abs/2109.03092
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