Information and Meaning in Life, Humans and Robots

Document Type: 
Book Chapter
Disciplines: 
Artificial intelligence
Topics: 
Cognition
Keywords: 
Information, meaning, systemic, constraint, life, anxiety, self-awareness, human, robot, grounding, Chinese room.
Date of Issue: 
2005
Authors: 
Christophe Menant
Title of Book: 
Proceedings of FIS2005, The Third Conference on the Foundations of Information Science, Paris, July 4-7, 2005
Publisher: 
MDPI, Basel, Switzerland
ISBN: 
3 906980 17 0
Official URL: 
http://www.mdpi.org/fis2005/F.45.paper.pdf
Alternative URL: 
http://cogprints.org/4531/01/F.45.paper.pdf
Abstract: 
Information and meaning exist around us and within ourselves, and the same information can correspond to different meanings. This is true for humans and animals, and is becoming true for robots. We propose here an overview of this subject by using a systemic tool related to meaning generation that has already been published (C. Menant, Entropy 2003). The Meaning Generator System (MGS) is a system submitted to a constraint that generates a meaningful information when it receives an incident information that has a relation with the constraint. The content of the meaningful information is explicited, and its function is to trigger an action that will be used to satisfy the constraint of the system. The MGS has been introduced in the case of basic life submitted to a 'stay alive' constraint. We propose here to see how the usage of the MGS can be extended to more complex living systems, to humans and to robots by introducing new types of constraints, and integrating the MGS into higher level systems. The application of the MGS to humans is partly based on a scenario relative to the evolution of body self-awareness toward self-consciousness that has already been presented (C. Menant, Biosemiotics 2003, and TSC 2004). The application of the MGS to robots is based on the definition of the MGS applied to robots functionality, taking into account the origins of the constraints. We conclude with a summary of this overview and with themes that can be linked to this systemic approach on meaning generation.
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