An Essay on Self-explanatory Computational Intelligence: A Linguistic Model of Data Processing Systems
Computational processes are increasingly more powerful and complex but also more difficult to understand by humans. Considering that Natural Language is a suitable tool for describing human perceptions, building self-explanatory computational systems ready to communicate with humans in Natural Language becomes a hot challenge. Based on
ideas taken from Cognitive Science, we propose a novel model to facilitate achieving this goal. We consider the computer as a metaphor of the mind and we use references from Philosophy, Neurology, Linguistics, Anthropology and Sociology to provide a structure of different components that allow coping with the complexity of generating linguistic de-
scriptions about computational processes. We illustrate the use of this model with several examples.
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Publication: Congress
1624015046296
June 18, 2021
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Computational processes are increasingly more powerful and complex but also more difficult to understand by humans. Considering that Natural Language is a suitable tool for describing human perceptions, building self-explanatory computational systems ready to communicate with humans in Natural Language becomes a hot challenge. Based on
ideas taken from Cognitive Science, we propose a novel model to facilitate achieving this goal. We consider the computer as a metaphor of the mind and we use references from Philosophy, Neurology, Linguistics, Anthropology and Sociology to provide a structure of different components that allow coping with the complexity of generating linguistic de-
scriptions about computational processes. We illustrate the use of this model with several examples. - Jose M. Alonso, Gracian Trivino
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