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Modeling and Understanding Future Action Decisions of Players during Online Gaming

Published: 05 December 2022 Publication History

Abstract

Contemporary Supervised Machine Learning (SML) and explainable AI (artificial intelligence) methods can be employed to both model and understand the decision making behavior of human actors within a multi-agent task setting. Here, we apply such modeling approach to capture the decision-making behavior of human actors playing a 3-player online herding game called “Desert Herding”. Of particular interest is whether the modeling approach can be employed to predict and understand the target switching strategies of human herders at variable prediction horizons and whether the explainable AI tool SHAP can be leveraged to identify the key informational variables (features) underlying the players’ target selection decisions.

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  • (2024)Modelling human navigation and decision dynamics in a first-person herding taskRoyal Society Open Science10.1098/rsos.23191911:10Online publication date: 30-Oct-2024

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cover image ACM Other conferences
HAI '22: Proceedings of the 10th International Conference on Human-Agent Interaction
December 2022
352 pages
ISBN:9781450393232
DOI:10.1145/3527188
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2022

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Author Tags

  1. artificial neural networks
  2. decision-making
  3. explainable-AI
  4. joint-action
  5. multi-agent interaction
  6. supervised machine learning

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • Macquarie Cotutelle (Industrial and International Leverage Fund) Award
  • Australian Research Council Future Fellowship
  • Integrated collaborative systems for smart factory - ICOSAF
  • International Macquarie University Research Excellence Scholarship Scheme

Conference

HAI '22
HAI '22: International Conference on Human-Agent Interaction
December 5 - 8, 2022
Christchurch, New Zealand

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

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  • (2024)Modelling human navigation and decision dynamics in a first-person herding taskRoyal Society Open Science10.1098/rsos.23191911:10Online publication date: 30-Oct-2024

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