Abstract
Based on ACE (Agent-based Computational Economics), 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 behavior is able to make correct business decisions by evaluating the environment and its own state.
| Translated title of the contribution | Agent-Based Simulation of Enterprise Entrepreneurship and Innovation Based on DQN |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 43-53 |
| Number of pages | 11 |
| Journal | Complex Systems and Complexity Science |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Mar 2019 |