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Autor principal: Kinsler, Paul
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2404.17477
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author Kinsler, Paul
author_facet Kinsler, Paul
contents Decision making can be difficult when there are many actors (or agents) who may be coordinating or competing to achieve their various ideas of the optimum outcome. Here I present a simple decision making model with an explicitly hierarchical binary-tree structure, and evaluate how this might cooperate to take actions that match its various evaluations of the uncertain state of the world. Key features of agent behaviour are (a) the separation of its decision making process into three distinct steps: observation, judgement, and action; and (b) the evolution of coordination by the sharing of judgements.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17477
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A multi-agent model of hierarchical decision dynamics
Kinsler, Paul
Multiagent Systems
Decision making can be difficult when there are many actors (or agents) who may be coordinating or competing to achieve their various ideas of the optimum outcome. Here I present a simple decision making model with an explicitly hierarchical binary-tree structure, and evaluate how this might cooperate to take actions that match its various evaluations of the uncertain state of the world. Key features of agent behaviour are (a) the separation of its decision making process into three distinct steps: observation, judgement, and action; and (b) the evolution of coordination by the sharing of judgements.
title A multi-agent model of hierarchical decision dynamics
topic Multiagent Systems
url https://arxiv.org/abs/2404.17477