Abstract
Both Cybersemiotics and Info-computationalist research programmes represent attempts to unify understanding of information, knowledge and communication. The first one takes into account phenomenological aspects of signification which are insisting on the human experience "from within". The second adopts solely the view "from the outside" based on scientific practice, with an observing agent generating inter-subjective knowledge in a research community. The process of knowledge production, embodied into networks of cognizing agents interacting with the environment and developing through evolution is studied on different levels of abstraction in both frames of reference. In order to develop scientifically tractable models of evolution of intelligence in informational structures from pre-biotic/chemical to living networked intelligent organisms, including the implementation of those models in artificial agents, a basic level language of Info-Computationalism has shown to be suitable. There are however contexts in which we deal with complex informational structures essentially dependent on human first person knowledge where high level language such as Cybersemiotics is the appropriate tool for conceptualization and communication. Two research projects are presented in order to exemplify the interplay of info-computational and higher-order approaches: The Blue Brain Project where the brain is modeled as info-computational system, a simulation in silico of a biological brain function, and Biosemiotics research on genes, information, and semiosis in which the process of semiosis is understood in info-computational terms. The article analyzes differences and convergences of Cybersemiotics and Info-computationalist approaches which by placing focus on distinct levels of organization, help elucidate processes of knowledge production in intelligent agents.
Highlights
Both Cybersemiotics and Info-computationalist research programmes represent attempts to unify understanding of information, knowledge and communication
Brain Project where the brain is modeled as info-computational system, a simulation in silico of a biological brain function, and Biosemiotics research on genes, information, and semiosis in which the process of semiosis is understood in info-computational terms
Semantics develops as a part of data/information/knowledge structuring process, in which complex structures are self-organized by the computational processing of simpler ones
Summary
Within the Info-computational framework knowledge is seen as a result of successive structuring of input data, where data is understood as the most basic information units, signals acquired by a cognizing agent through the senses/sensors/instruments. Information is meaningful data, which in the step of organization can be turned into knowledge by an interactive computational process occurring in the agent. For an agent, the reality presents proto-information or the potential information which agent interacts with and is part of. An agent is a physical system, living organism or a robot possessing cognitive structures capable of adaptive behaviors. Semantics develops as a part of data (signals from the physical environment and from their own physical body)/information/knowledge structuring process, in which complex structures are self-organized by the computational processing of simpler ones. Evolutionary development of increasingly intelligent self-organized structures and processes has enabled living organisms to survive in the complex and dynamical world.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
