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.

8 pages, 2 figures, Presented at the 2nd International Workshop on Deceptive AI @IJCAI2021. See https://sites.google.com/view/deceptai2021/program