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2021 | OriginalPaper | Buchkapitel

Governing Black-Box Agents in Competitive Multi-Agent Systems

verfasst von : Michael Pernpeintner, Christian Bartelt, Heiner Stuckenschmidt

Erschienen in: Multi-Agent Systems

Verlag: Springer International Publishing

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Abstract

Competitive Multi-Agent Systems (MAS) are inherently hard to control due to agent autonomy and strategic behavior, which is particularly problematic when there are system-level objectives to be achieved or specific environmental states to be avoided.
Existing solutions for this task mostly assume specific knowledge about agent preferences, utilities and strategies, neglecting the fact that actions are not always directly linked to genuine agent preferences, but can also reflect anticipated competitor behavior, be a concession to a superior adversary or simply be intended to mislead other agents. This assumption both reduces applicability to real-world systems and opens room for manipulation.
We therefore propose a new governance approach for competitive MAS which relies exclusively on publicly observable actions and transitions, and uses the acquired knowledge to purposefully restrict action spaces, thereby achieving the system’s objectives while preserving a high level of autonomy for the agents.

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Metadaten
Titel
Governing Black-Box Agents in Competitive Multi-Agent Systems
verfasst von
Michael Pernpeintner
Christian Bartelt
Heiner Stuckenschmidt
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-82254-5_2