Hanning Wang
ABSTRACT
This paper delves into the simulation study of symbiotic coevolution within the innovation ecosystem of the AI large model industry. In recent years, the AI large model industry has experienced rapid growth, becoming a pivotal driving force at the forefront of technology. The development of AI large models, exemplified by ChatGPT, a prominent language model under OpenAI, heralds the arrival of a new era in the AI field. This research, approached from an ecological perspective, utilizes simulation methods to explore the interactions and symbiotic relationships among diverse elements within this emerging industry. Furthermore, it examines their influence on the patterns of industry innovation and development. The simulation model encompasses crucial industry stakeholders, innovation-driving factors, resource flows, and other pertinent aspects to construct a more realistic ecosystem of the AI large model industry. Although some scholars have conducted some research on the topic of industrial innovation ecosystem, research on the innovation ecosystem of the artificial intelligence large model industry is still limited, especially related to its evolution mode. The outcomes of this study offer valuable insights for comprehending the industry's developmental dynamics, formulating innovation strategies, and predicting market trends. This symbiotic coevolution simulation study aids in unraveling the intricate relationships among various elements within the AI large model industry ecosystem, thereby guiding sustainable development and the formulation of innovative ecological strategies.
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Index Terms
- Symbiotic Coevolution Simulation Study of the AI Large Model Industry Innovation Ecosystem
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