ConsciousControlFlow(CCF): Conscious Artificial Intelligence Based on Needs
Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng
Journal of Artificial Intelligence and Consciousness July 14, 2021 DOI: 10.1142/s2705078521500132 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 1 |
| Key points | Argues that the major criterion for distinguishing conscious from non-conscious AI is whether consciousness derives from needs, and proposes "ConsciousControlFlow" (CCF), a computational model combining short-term and long-term memory with a hierarchy of needs. The authors report that experiments showed agents behaving according to their needs, consistent with their prediction. |
Abstract
The major criteria to distinguish conscious Artificial Intelligence (AI) and non-conscious AI is whether the conscious is from the needs. Based on this criteria, we develop ConsciousControlFlow(CCF) to show the need-based conscious AI. The system is based on the computational model with a short-term memory (STM) and long-term memory (LTM) for consciousness and the hierarchy of needs. To generate AI based on real needs of the agent, we developed several LTMs for special functions such as feeling and sensor. Experiments have demonstrated that the agents in the proposed system behave according to the needs, which coincides with the prediction.