multi-agent system Archives - Healthentia https://healthentia.com/tag/multi-agent-system/ Thu, 02 Dec 2021 15:15:19 +0000 en-US hourly 1 https://healthentia.com/wp-content/uploads/2020/04/cropped-favicon_512-32x32.png multi-agent system Archives - Healthentia https://healthentia.com/tag/multi-agent-system/ 32 32 193384636 Agents United: An Open Platform for Multi-Agent Conversational Systems https://healthentia.com/agents-united-an-open-platform-for-multi-agent-conversational-systems/ Tue, 14 Sep 2021 15:08:36 +0000 https://healthentia.com/?p=18744 Topics: eHealth, coaching, conversational agents SOURCE: The ACM Digital Library, 2021, Sep. ;  BOOK DOI Link, Chapter DOI Link Agents United: An Open Platform for Multi-Agent Conversational Systems Tessa Beinema, Daniel Davison, Dennis Reidsma, Oresti Banos, Merijn Bruijnes, Brice Donval, Álvaro Fides Valero, Dirk Heylen, Dennis Hofs, Gerwin Huizing, Reshamashree B. Kantharaju, Randy Klaassen, Jan...

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Topics: eHealth, coaching, conversational agents

SOURCE: The ACM Digital Library, 2021, Sep. ;  BOOK DOI Link, Chapter DOI Link

Agents United: An Open Platform for Multi-Agent Conversational Systems

Tessa Beinema, Daniel Davison, Dennis Reidsma, Oresti Banos, Merijn Bruijnes, Brice Donval, Álvaro Fides Valero, Dirk Heylen, Dennis Hofs, Gerwin Huizing, Reshamashree B. Kantharaju, Randy Klaassen, Jan Kolkmeier, Kostas Konsolakis, Alison Pease, Catherine Pelachaud, Donatella Simonetti, Mark Snaith, Vicente Traver, Jorien van Loon, Jacky Visser, Marcel Weusthof, Fajrian Yunus, Hermie Hermens, Harm op den Akker

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.

Keywords: Open source platform; multi-agent system; coaching; social conversational agents

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