The science of psychology has become fragmented due to its multiple roots, diverse methodologies and premises. Using simple information related notions like input and output, combined with recursive systems’ view a powerful theory is presented, based on what classic psychology notions like self, consciousness or emotions are re-defined and are brought to a common ground. If accepted by the research community, the approach could also grow into a unifying thinking frame for social sciences (sociology, history, political sciences, economics etc.). In addition to cognitive science’s efforts it aims to integrate our knowledge about both cognition and groups, personality, genders etc.
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Foundations of an Information Based Psychology
Published: 09 June 2017 by MDPI in DIGITALISATION FOR A SUSTAINABLE SOCIETY session Theoretical Information Studies
Keywords: recursive systems, input, output, processing, consciousness, self, unified information theory, morphological computing, adaptation, grid automaton