The generative operations concerning the transformation between the active and the passive convert successively from PS rules, T-rules, D-structure, NP preposing and postposing, X-bar analysis, to case theory, governm...The generative operations concerning the transformation between the active and the passive convert successively from PS rules, T-rules, D-structure, NP preposing and postposing, X-bar analysis, to case theory, government, checking theory and head movement. The development of the passive construct mirrors the trend of the progress of Chomskyan theory, evolving from the rule motivations to the principle motivations. The giant leap between the phases of the generative grammar has aroused great curiosity among the scholars and learners of syntax. In this paper, the author will explore the tacit strategy underlying the module changes of TG from the perspective of cognitive science.展开更多
This paper introduces a theory of mind that positions language as a cognitive tool in its own right for the optimization of biological fitness.I argue that human language reconstruction of reality results from biologi...This paper introduces a theory of mind that positions language as a cognitive tool in its own right for the optimization of biological fitness.I argue that human language reconstruction of reality results from biological memory and adaptation to uncertain environmental conditions for the reaffirmation of the Selfas-symbol.I demonstrate that pretrained language models,such as ChatGPT,lack embodied grounding,which compromises their ability to adequately model the world through language due to the absence of subjecthood and conscious states for event recognition and partition.At a deep level,I challenge the notion that the constitution of a semiotic Self relies on computational reflection,arguing against reducing human representation to data structures and emphasizing the importance of positing accurate models of human representation through language.This underscores the distinction between transformers as posthuman agents and humans as purposeful biological agents,which emphasizes the human capacity for purposeful biological adjustment and optimization.One of the main conclusions of this is that the capacity to integrate information does not amount to phenomenal consciousness as argued by Information Integration Theory.Moreover,while language models exhibit superior computational capacity,they lack the real consciousness providing them with multiscalar experience anchored in the physical world,a characteristic of human cognition.However,the paper anticipates the emergence of new in silico conceptualizers capable of defining themselves as phenomenal agents with symbolic contours and specific goals.展开更多
文摘The generative operations concerning the transformation between the active and the passive convert successively from PS rules, T-rules, D-structure, NP preposing and postposing, X-bar analysis, to case theory, government, checking theory and head movement. The development of the passive construct mirrors the trend of the progress of Chomskyan theory, evolving from the rule motivations to the principle motivations. The giant leap between the phases of the generative grammar has aroused great curiosity among the scholars and learners of syntax. In this paper, the author will explore the tacit strategy underlying the module changes of TG from the perspective of cognitive science.
文摘This paper introduces a theory of mind that positions language as a cognitive tool in its own right for the optimization of biological fitness.I argue that human language reconstruction of reality results from biological memory and adaptation to uncertain environmental conditions for the reaffirmation of the Selfas-symbol.I demonstrate that pretrained language models,such as ChatGPT,lack embodied grounding,which compromises their ability to adequately model the world through language due to the absence of subjecthood and conscious states for event recognition and partition.At a deep level,I challenge the notion that the constitution of a semiotic Self relies on computational reflection,arguing against reducing human representation to data structures and emphasizing the importance of positing accurate models of human representation through language.This underscores the distinction between transformers as posthuman agents and humans as purposeful biological agents,which emphasizes the human capacity for purposeful biological adjustment and optimization.One of the main conclusions of this is that the capacity to integrate information does not amount to phenomenal consciousness as argued by Information Integration Theory.Moreover,while language models exhibit superior computational capacity,they lack the real consciousness providing them with multiscalar experience anchored in the physical world,a characteristic of human cognition.However,the paper anticipates the emergence of new in silico conceptualizers capable of defining themselves as phenomenal agents with symbolic contours and specific goals.
