Trying to imitate-a step towards releasing robots from social isolation

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

28 Citations (Scopus)

Abstract

This paper proposes a scenario which allows to study 'one-to-one' interactions between robots in 'individualized' societies. We are inspired by the 'social intelligence hypothesis', which comes from primatology and states that primate intelligence originally evolved to solve social problems. If this is one important factor in the evolution of intelligence and cognition in primates, we suggest, that it might be a general principle in the evolution of intelligent artefacts, not necessarily restricted to a biological substrate. Therefore we work with robots which should be able to collect experiences from individual interactions and recognize each other in order to establish individual 'personal' relationships. We use a hilly habitat ('Huegelland-schaft') which (1) allows to concentrate on aspects of social interaction without using obstacles or object manipulation and (2) provides enough complexity and ways for the robots to behave 'meaningfully'. The robots communicate explicitly by synchronization and matching of movements. This behavior is the key to a symbiosis-like relationship, i.e. It is necessary for the survival of the individual.

Original languageEnglish
Title of host publicationProceedings - From Perception to Action Conference, PerAc 1994
EditorsJean-Daniel Nicoud, Philippe Gaussier
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages290-301
Number of pages12
ISBN (Electronic)0818664827, 9780818664823
DOIs
Publication statusPublished - 1 Jan 1994
Event1994 From Perception to Action Conference, PerAc 1994 - Lausanne, Switzerland
Duration: 7 Sept 19949 Sept 1994

Publication series

NameProceedings - From Perception to Action Conference, PerAc 1994

Conference

Conference1994 From Perception to Action Conference, PerAc 1994
Country/TerritorySwitzerland
CityLausanne
Period7/09/949/09/94

Keywords

  • Imitation
  • Individualized society
  • Movement learning
  • Social robots

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