Emergence of Interaction among Adaptive Agents

Georg Martius, Stefano Nolfi, J. Michael Herrmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Robotic agents can self-organize their interaction with the environment by an adaptive “homeokinetic” controller that simultaneously maximizes sensitivity of the behavior and predictability of sensory inputs. Based on previous work with single robots, we study the interaction of two homeokinetic agents. We show that this paradigm also produces quasi-social interactions among artificial agents. The results suggest that homeokinetic learning generates social behavior only in the the context of an actual encounter of the interaction partner while this does not happen for an identical stimulus pattern that is only replayed. This is in agreement with earlier experiments with human subjects.
Original languageEnglish
Title of host publicationFrom Animals to Animats 10
Subtitle of host publication10th International Conference on Simulation of Adaptive Behavior, SAB 2008, Osaka, Japan, July 7-12, 2008. Proceedings
EditorsMinoru Asada, John C. T. Hallam, Jean-Arcady Meyer, Jun Tani
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages457-466
Number of pages10
ISBN (Electronic)978-3-540-69134-1
ISBN (Print)978-3-540-69133-4
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5040
ISSN (Print)0302-9743

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