Analyzing Language Grounding and Linguistic Intentionality in Cognitive Process and Information Processing Model (CPIPM)-Driven Linguistic Processes

Language acts as a bridge for understanding the world, yet the precise mechanics of language generation remain unclear. This study delves into the world-engaged Cognitive Process and Information Processing Model (CPIPM), arguing that language's intentionality is inherent to itself, acquired through training within a world-involving context. This view resonates with the philosophical insights of Martin Heidegger and Ludwig Wittgenstein. When an agent equipped with the CPIPM algorithm is initially outfitted with perceptual sensors and preset with primary needs, it can generate language in accordance with the algorithm. In subsequent cognitive processes, the agent is capable of achieving re-cognition through language, thereby transcending the limitations of its initial sensors and pre-programmed parameters. Consequently, its language exhibits both systematicity and productivity.