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Agents United: an open platform for multi-agent conversational systems.

Beinema, Tessa; Davison, Daniel; Reidsma, Dennis; Snaith, Mark

Authors

Tessa Beinema

Daniel Davison

Dennis Reidsma



Abstract

The development of applications with intelligent virtual agents (IVA) often comes with integration of multiple complex components. In this article we present the Agents United Platform: an open source platform that researchers and developers can use as a starting point to setup their own multi-IVA applications. The new platform provides developers with a set of integrated components in a sense-remember-think-act architecture. Integrated components are a sensor framework, memory component, Topic Selection Engine, interaction manager (Flipper), two dialogue execution engines, and two behaviour realisers (ASAP and GRETA) of which the agents can seamlessly interact with each other. This article discusses the platform and its individual components. It also highlights some of the novelties that arise from the integration of components and elaborates on directions for future work.

Citation

BEINEMA, T., DAVISON, D., REIDSMA, D. et al. 2021. Agents United: an open platform for multi-agent conversational systems. In Proceedings of 21st ACM (Association for Computing Machinery) Intelligent virtual agents international conference 2021 (IVA '21), 14-17 September 2021, [virtual conference]. New York: ACM [online], pages 17-24. Available from: https://doi.org/10.1145/3472306.3478352

Conference Name 21st ACM (Association for Computing Machinery) Intelligent virtual agents international conference 2021 (IVA '21)
Conference Location [virtual conference]
Start Date Sep 14, 2021
End Date Sep 17, 2021
Acceptance Date Jun 15, 2021
Online Publication Date Sep 14, 2021
Publication Date Sep 14, 2021
Deposit Date Jan 11, 2022
Publicly Available Date Jan 11, 2022
Publisher Association for Computing Machinery (ACM)
Pages 17-24
Book Title Proceedings of 21st ACM (Association for Computing Machinery) Intelligent virtual agents international conference (IVA '21)
ISBN 9781450386197
DOI https://doi.org/10.1145/3472306.3478352
Keywords Open source platform; Multi-agent system; Social conversational agents; Coaching
Public URL https://rgu-repository.worktribe.com/output/1569558

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