Rethinking piaget for a developmental robotics of object permanence

2007 ◽  
Author(s):  
Jun Luo
Keyword(s):  
Object Permanence ◽  
Developmental Robotics

On the implications of object permanence: Microhistorical insights from Piaget's new theory

2020 ◽  
Vol 43 ◽  
Author(s):  
Jeremy Trevelyan Burman
Keyword(s):  
Object Permanence ◽  
American Psychology

Abstract The authors’ arguments reflect the dominant traditions of American Psychology. In doing so, however, they miss relevant insights omitted during the original importation (translation and popularization) of the foreign sources that informed the theories they built upon. Of particular relevance here are Piaget's last studies. These are presented to unpack the meaning of “object permanence” as a kind of representation.

Now you see it, now you don't: Object permanence in dogs

2010 ◽  
Author(s):  
Holly C. Miller ◽  
Kristina L. Pattison ◽  
Rebecca M. Rayburnreeves ◽  
Thomas R. Zentall
Keyword(s):  
Object Permanence

A test of object permanence in cotton top tamarins (Saguinus Oedipus)

2001 ◽  
Author(s):  
Julie Neiworth ◽  
Eric Steinmark ◽  
Catherine Dehart ◽  
Frances Steely
Keyword(s):  
Object Permanence ◽  
Saguinus Oedipus

Il contributo metodologico della Developmental Robotics alla psicologia

2018 ◽  
pp. 221-239
Author(s):  
Daniela Conti ◽  
Santo Di Nuovo ◽  
Angelo Cangelosi
Keyword(s):  
Developmental Robotics

Robots as cognitive tools

2002 ◽  
Vol 1 (1) ◽  
pp. 125-143 ◽  
Author(s):  
Rolf Pfeifer
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Main Tool ◽  
Human Cognition ◽  
Abstract Thinking ◽  
Cognitive Tools ◽  
Developmental Robotics ◽  
Information Theoretic ◽  
Natural Forms ◽  
Over Time

Artificial intelligence is by its very nature synthetic, its motto is “Understanding by building”. In the early days of artificial intelligence the focus was on abstract thinking and problem solving. These phenomena could be naturally mapped onto algorithms, which is why originally AI was considered to be part of computer science and the tool was computer programming. Over time, it turned out that this view was too limited to understand natural forms of intelligence and that embodiment must be taken into account. As a consequence the focus changed to systems that are able to autonomously interact with their environment and the main tool became the robot. The “developmental robotics” approach incorporates the major implications of embodiment with regard to what has been and can potentially be learned about human cognition by employing robots as cognitive tools. The use of “robots as cognitive tools” is illustrated in a number of case studies by discussing the major implications of embodiment, which are of a dynamical and information theoretic nature.

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