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Social Connections between Large Language Model Agents

dc.contributor.authorGöpfert, Ferdinand
dc.contributor.authorJohannes, Suzan
dc.contributor.authorSchulenburg, Johann
dc.contributor.authorSeibert, Julian
dc.contributor.authorThier, Alexander
dc.contributor.authorKrach, Thomas
dc.contributor.authorLasowski, Ruxandra
dc.date.accessioned2024-08-21T11:08:31Z
dc.date.available2024-08-21T11:08:31Z
dc.date.issued2024
dc.description.abstractIn this study, we explore if large language models (LLMs) can apply the concept of personal closeness and use this to enhance communication between each other while using midrange personal computers. We test and modify the LLM “Llama 3” on commodity hardware to measure the level of interpersonal closeness between the different LLM’s characters. In particular, we show insights into the development of their connection. Results indicate that the scoring of one LLM agent could have an effect on each other's LLM agents’ scoring.en
dc.identifier.doi10.18420/muc2024-mci-src-373
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44247
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.subjectLarge Language Model
dc.subjectArtificial Intelligence
dc.subjectInterpersonal Closeness
dc.subjectSocial Simulation
dc.subjectSocial AI
dc.titleSocial Connections between Large Language Model Agentsen
dc.typeText/Conference Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI: Student Research Competition

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