A Cognitive Agent Model Using Inverse Mirroring for False Attribution of Own Actions to Other Agents

J. Treur, M. Umair

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This paper presents a cognitive agent model capable of showing situations where self-generated actions are attributed to other agents, as, for example, for patients suffering from schizophrenia. The mechanism underlying the model involves inverse mirroring: mapping preparation states onto sensory representations of observed actions. It is shown how this mechanism can develop based on Hebbian learning. The model provides a basis for applications to human-like virtual agents in the context of for example, training of therapists or agent-based generation of virtual stories. © 2011 Springer-Verlag.
Original languageEnglish
Pages (from-to)109-119
JournalLecture Notes in Computer Science
Volume6704
DOIs
Publication statusPublished - 2011
Event24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE’11 - Berlin-Heidelberg
Duration: 1 Jan 20111 Jan 2011

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Inverse Model
Hebbian Learning
Virtual Agents
Preparation
Model
False

Bibliographical note

Proceedings title: Proceedings of the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE’11, Part II.
Publisher: Springer Verlag
Place of publication: Berlin-Heidelberg

Cite this

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A Cognitive Agent Model Using Inverse Mirroring for False Attribution of Own Actions to Other Agents. / Treur, J.; Umair, M.

In: Lecture Notes in Computer Science, Vol. 6704, 2011, p. 109-119.

Research output: Contribution to JournalArticleAcademicpeer-review

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