Strategically revealing intentions in General Lotto games

Fuente: arXiv
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Hauptverfasser: Paarporn, Keith, Chandan, Rahul, Kovenock, Dan, Alizadeh, Mahnoosh, Marden, Jason R.
Format: Preprint
Veröffentlicht: 2021
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author Paarporn, Keith
Chandan, Rahul
Kovenock, Dan
Alizadeh, Mahnoosh
Marden, Jason R.
author_facet Paarporn, Keith
Chandan, Rahul
Kovenock, Dan
Alizadeh, Mahnoosh
Marden, Jason R.
contents Strategic decision-making in uncertain and adversarial environments is crucial for the security of modern systems and infrastructures. A salient feature of many optimal decision-making policies is a level of unpredictability, or randomness, which helps to keep an adversary uncertain about the system's behavior. This paper seeks to explore decision-making policies on the other end of the spectrum -- namely, whether there are benefits in revealing one's strategic intentions to an opponent before engaging in competition. We study these scenarios in a well-studied model of competitive resource allocation problem known as General Lotto games. In the classic formulation, two competing players simultaneously allocate their assets to a set of battlefields, and the resulting payoffs are derived in a zero-sum fashion. Here, we consider a multi-step extension where one of the players has the option to publicly pre-commit assets in a binding fashion to battlefields before play begins. In response, the opponent decides which of these battlefields to secure (or abandon) by matching the pre-commitment with its own assets. They then engage in a General Lotto game over the remaining set of battlefields. Interestingly, this paper highlights many scenarios where strategically revealing intentions can actually significantly improve one's payoff. This runs contrary to the conventional wisdom that randomness should be a central component of decision-making in adversarial environments.
format Preprint
id arxiv_https___arxiv_org_abs_2110_12099
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Strategically revealing intentions in General Lotto games
Paarporn, Keith
Chandan, Rahul
Kovenock, Dan
Alizadeh, Mahnoosh
Marden, Jason R.
Computer Science and Game Theory
Systems and Control
Strategic decision-making in uncertain and adversarial environments is crucial for the security of modern systems and infrastructures. A salient feature of many optimal decision-making policies is a level of unpredictability, or randomness, which helps to keep an adversary uncertain about the system's behavior. This paper seeks to explore decision-making policies on the other end of the spectrum -- namely, whether there are benefits in revealing one's strategic intentions to an opponent before engaging in competition. We study these scenarios in a well-studied model of competitive resource allocation problem known as General Lotto games. In the classic formulation, two competing players simultaneously allocate their assets to a set of battlefields, and the resulting payoffs are derived in a zero-sum fashion. Here, we consider a multi-step extension where one of the players has the option to publicly pre-commit assets in a binding fashion to battlefields before play begins. In response, the opponent decides which of these battlefields to secure (or abandon) by matching the pre-commitment with its own assets. They then engage in a General Lotto game over the remaining set of battlefields. Interestingly, this paper highlights many scenarios where strategically revealing intentions can actually significantly improve one's payoff. This runs contrary to the conventional wisdom that randomness should be a central component of decision-making in adversarial environments.
title Strategically revealing intentions in General Lotto games
topic Computer Science and Game Theory
Systems and Control
url https://arxiv.org/abs/2110.12099