Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems

TL;DR

This paper introduces a computational model for strategic deceptive planning in multi-agent systems, aiming to better simulate and understand deception in adversarial scenarios like warfare.

Contribution

It presents a novel framework for modeling, studying, and generating deceptive behaviors in multi-agent systems, filling a gap in existing agent behavior research.

Findings

Provides a framework for studying deception in multi-agent systems

Enables generation of novel deceptive strategies

Facilitates understanding of strategic deception in adversarial contexts

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.