Abstract
Based on ACE, this paper uses an agent based model to build an economic system model based on enterprise behavior, and tries to solve the dynamic problem and policy problem of combining enterprise innovation with entrepreneurship. In the economic system of enterprise entrepreneurship and innovation constructed in this paper, the agent behavior algorithm, which acts as the enterprise agent, adopts the artificial intelligence DQN algorithm for self--adaptive simulation. The simulation results show that compared with the enterprise agent without self-adaptive behavior, the enterprise agent with self-adaptive behaviors able to make correct business decisions by evaluating the environment and its own state.
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Jiang, X. (2021). Agent Based Simulation of Enterprise Entrepreneurship and Innovation Based on DQN. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_159
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DOI: https://doi.org/10.1007/978-3-030-53980-1_159
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