Dear Colleagues, In a few sentences, a summary of my contribution addressing some of Pedro’s formulations of Yixin's questions: It is difficult to consider a unique perspective on the relations between intelligence and information as they depend upon the agent being considered (bacteria, human, robot, ..). An evolutionary approach can provide a thread as it allows starting with easy cases. Considering agent meaning generation for constraint satisfaction as an elementary case of intelligence, we can start by a simple systemic model linking meaning generation and information (1, 2) An evolutionary approach can then be addressed through the evolutions of agents and of constraints (3,4). Meaningful information and representations (intelligence) link the agents to their worlds (4). However, some characteristics of agents, like being alive, autonomous or conscious, are badly understood or still mysterious. Such lack of understanding needs to be explicated in our evolutionary route (4). All the best for this year end Christophe (1) http://crmenant.free.fr/FIScience/Index.htm (2) http://www.mdpi.org/entropy/papers/e5020193.pdf (3) http://crmenant.free.fr/Biosemiotics3/INDEX.HTM (4) http://www.idt.mdh.se/ECAP-2005/INFOCOMPBOOK/CHAPTERS/10-Menant.pdf
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