Support Rather Than Assault – Cooperative Agents in Minecraft

Potts, Danielle, MacFarlane, Kate and Hall, Lynne (2021) Support Rather Than Assault – Cooperative Agents in Minecraft. In: 33rd British Computer Society Human Computer Interaction conference, 19-21 July 2021, Online. (In Press)

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Abstract

With the dominant trope of the computer as adversary rather than enabler, reinforcement learning for games has mainly focused on the ability of agents to compete and win. Although cooperation is a product of learning, of understanding the player’s requirements and applying agents’ competences to fulfil them, there has been little investigation of reinforcement learning for cooperation in games. Reinforcement learning results in the agent adapting and changing, however, there are concerns that such adaptivity could alienate users if their cooperative agent outperforms them. To explore this, the paper outlines the development and training of cooperative agents reporting users’ positive response to adaptive cooperation in games.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing > Artificial Intelligence
Computing > Games Design
Computing > Human-Computer Interaction
Computing
Divisions: Faculty of Technology > School of Computer Science
Depositing User: Lynne Hall
Date Deposited: 13 Jul 2021 15:27
Last Modified: 13 Jul 2021 15:27
URI: http://sure.sunderland.ac.uk/id/eprint/13659
ORCID for Kate MacFarlane: ORCID iD orcid.org/0000-0003-0271-3314
ORCID for Lynne Hall: ORCID iD orcid.org/0000-0001-5090-1980

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