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Adaptive Agent-Based Simulation for Individualized Training
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.
2020 (English)In: Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems(AAMAS 2020) / [ed] B. An, N. Yorke-Smith, A. El Fallah Seghrouchni, G. Sukthankar, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) , 2020, p. 2193-2195Conference paper, Published paper (Refereed)
Abstract [en]

Agent-based simulation can be used for efficient and effective training of human operators and decision-makers. However, constructing realistic behavior models for the agents is challenging and time-consuming, especially for subject matter experts, who may not have expertise in artificial intelligence. In this work, we investigate how machine learning can be used to adapt simulation contents to the current needs of individual trainees. Our initial results demonstrate that multi-objective multi-agent reinforcement learning is a promising approach for creating agents with diverse and adaptive characteristics, which can stimulate humans in training.

Place, publisher, year, edition, pages
International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org) , 2020. p. 2193-2195
Series
International Conference on Autonomous Agents and Multiagent Systems, ISSN 2523-5699 ; 19
Keywords [en]
Modelling for agent based simulation, Agents competing and collaborating with humans, Agents for improving human cooperative activities, Reinforcement learning, Multi-agent learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-165711ISBN: 978-1-4503-7518-4 (electronic)OAI: oai:DiVA.org:liu-165711DiVA, id: diva2:1430166
Conference
19th International Conference on Autonomous Agents and Multiagent Systems(AAMAS 2020), May9–13, 2020, Auckland, New Zealand.
Funder
Vinnova, 2017-04885Wallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2020-05-13 Created: 2020-05-13 Last updated: 2020-05-18

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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More languages
Output format
  • html
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