dc.creatorGechter, Frack
dc.creatorRonzani, Bruno
dc.creatorRioli, Fabien
dc.date.accessioned2020-02-11T10:31:50Z
dc.date.accessioned2023-03-07T19:26:02Z
dc.date.available2020-02-11T10:31:50Z
dc.date.available2023-03-07T19:26:02Z
dc.date.created2020-02-11T10:31:50Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/9823
dc.identifierhttp://dx.doi.org/10.9781/ijimai.2014.317
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5904174
dc.description.abstractMulti-agent systems are now wide spread in scientific works and in industrial applications. Few applications deal with the Human/Multi-agent system interaction. Multi-agent systems are characterized by individual entities, called agents, in interaction with each other and with their environment. Multi-agent systems are generally classified into complex systems categories since the global emerging phenomenon cannot be predicted even if every component is well known. The systems developed in this paper are named reactive because they behave using simple interaction models. In the reactive approach, the issue of Human/system interaction is hard to cope with and is scarcely exposed in literature. This paper presents Sphericall, an application aimed at studying Human/Complex System interactions and based on two physics inspired multi-agent systems interacting together. The Sphericall device is composed of a tactile screen and a spherical world where agents evolve. This paper presents both the technical background of Sphericall project and a feedback taken from the demonstration performed during OFFF Festival in La Villette (Paris).
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 03, nº 01
dc.relationhttps://www.ijimai.org/journal/node/709
dc.rightsopenAccess
dc.subjectlive demonstration
dc.subjecthuman/complex system interactions
dc.subjectmulti-agent systems
dc.subjectphysics inspired behaviours
dc.subjectIJIMAI
dc.titleSphericall: A Human/Artificial Intelligence interaction experience
dc.typearticle


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