Intentional Cognition:Knowledge Dissemination Pathway Driven by Artificial Intelligence for Language Production
The output of natural language is governed by the brain's linguistic capabilities,highlighting the dual role of mental construction and intentional cognition.In a certain sense,language is a product of the mind,reflecting the complexity and intentionality of human thought.In the era of artificial intelligence,language production relies on linguistic symbols to simulate and exercise the brain's thinking patterns.Reflecting on the intentionality of the human brain,this process integrates human participation in human-machine collaborative language communication and knowledge enhancement.On one hand,human-machine compatible language production models expand the depth and breadth of knowledge dissemination,a-chieving a knowledge shift in intelligent language intentional communication.On the other hand,within the intelligent cogni-tive paradigm,the language output forms of artificial intelligence directly bypass the evolutionary process of natural language.Objectively,intelligent language cannot truly possess self-aware intentionality and tends to fall into formulaic pit-falls in semantic understanding.Regarding the reproduction of knowledge,language production in the context of intelligence emphasizes multiple pathways for knowledge dissemination,transitioning from linguistic symbols to data governance,and from logic to algorithms.
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