Meanings are present everywhere in our environment and within ourselves. But these meanings do not exist by themselves. They are associated to information and have to be created, to be generated by agents. The Meaning Generator System (MGS) has been developed to model meaning generation in agents following a system approach in an evolutionary perspective. The agents can be natural or artificial. The MGS generates meaningful information (a meaning) when it receives information that has a connection with an internal constraint to which the agent is submitted. The generated meaning is to be used by the agent to implement actions aimed at satisfying the constraint. We propose here to highlight some characteristics of the MGS that could be related to items of philosophy of information.
Previous Article in event
Next Article in event
The shaping of the public opinion: social media between populism and convivialism. A comparative study of Austria, Sweden, and the UKNext Article in session
Meaning generation for animals, humans and artificial agents. An evolutionary perspective on the philosophy of information
Published: 08 June 2017 by MDPI in DIGITALISATION FOR A SUSTAINABLE SOCIETY session Third International Conference on Philosophy of Information
Keywords: Information, meaning, evolution, constraint, computation, representation