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Adaptive Agent-Base...
Adaptive Agent-Based Simulation for Individualized Training
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- Källström, Johan, 1976- (författare)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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(creator_code:org_t)
- The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2020
- 2020
- Engelska.
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Ingår i: Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). - : The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). - 9781450375184 ; , s. 2193-2195
- Relaterad länk:
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http://www.ifaamas.o...
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https://liu.diva-por... (primary) (Raw object)
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Modelling for agent based simulation
- Agents competing and collaborating with humans
- Agents for improving human cooperative activities
- Reinforcement learning
- Multi-agent learning
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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