TU Darmstadt / ULB / TUbiblio

Theory of Mind based Communication for Human Agent Cooperation

Bühler, Moritz ; Weisswange, Thomas (2020)
Theory of Mind based Communication for Human Agent Cooperation.
IEEE International Conference on Human-Machine Systems. Rome, Italy (07.09. - 09.09.2020)
doi: 10.25534/tuprints-00011524
Konferenzveröffentlichung, Zweitveröffentlichung

Kurzbeschreibung (Abstract)

For human agent cooperation, reasoning about the partner is necessary to enable an efficient interaction. To provide helpful information, it is important not only to account for environmental uncertainties or dangers but also to maintain a sophisticated understanding of each other’s mental state, a theory of mind. Sharing every piece of information is not a good idea, as some may be irrelevant at time or already known, leading to distraction and annoyance. Instead, an agent will have to estimate the novelty and relevance of information for the receiver, to trade off the cost of communication against potential benefits. We propose the concept of theory of mind based communication as principled formulation to ground an agents cooperative communication on an understanding of the receiver’s mental states to support her awareness and action selection. Therefore we formulate the problem of whether, when and what Information to share as a sequential decision process with the human belief as central source of uncertainty. The agent’s communication decision is obtained online during interaction by combining a second level Bayesian inference of human belief with planning under uncertainty, evaluating the influence of communication on the human belief and her future decisions. We discuss the resulting behavior on an illustrative communication scenario with different uncertain state aspects that an observing agent can communicate to the actor.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2020
Autor(en): Bühler, Moritz ; Weisswange, Thomas
Art des Eintrags: Zweitveröffentlichung
Titel: Theory of Mind based Communication for Human Agent Cooperation
Sprache: Englisch
Publikationsjahr: September 2020
Ort der Erstveröffentlichung: IEEE
Buchtitel: 2020 IEEE International Conference on Human-Machine Systems (ICHMS 2020)
Kollation: 6 Seiten
Veranstaltungstitel: IEEE International Conference on Human-Machine Systems
Veranstaltungsort: Rome, Italy
Veranstaltungsdatum: 07.09. - 09.09.2020
DOI: 10.25534/tuprints-00011524
URL / URN: https://tuprints.ulb.tu-darmstadt.de/11524
Zugehörige Links:
Kurzbeschreibung (Abstract):

For human agent cooperation, reasoning about the partner is necessary to enable an efficient interaction. To provide helpful information, it is important not only to account for environmental uncertainties or dangers but also to maintain a sophisticated understanding of each other’s mental state, a theory of mind. Sharing every piece of information is not a good idea, as some may be irrelevant at time or already known, leading to distraction and annoyance. Instead, an agent will have to estimate the novelty and relevance of information for the receiver, to trade off the cost of communication against potential benefits. We propose the concept of theory of mind based communication as principled formulation to ground an agents cooperative communication on an understanding of the receiver’s mental states to support her awareness and action selection. Therefore we formulate the problem of whether, when and what Information to share as a sequential decision process with the human belief as central source of uncertainty. The agent’s communication decision is obtained online during interaction by combining a second level Bayesian inference of human belief with planning under uncertainty, evaluating the influence of communication on the human belief and her future decisions. We discuss the resulting behavior on an illustrative communication scenario with different uncertain state aspects that an observing agent can communicate to the actor.

URN: urn:nbn:de:tuda-tuprints-115242
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme)
Hinterlegungsdatum: 29 Mär 2020 19:56
Letzte Änderung: 13 Feb 2024 14:28
PPN:
Zugehörige Links:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen