Social Sciences in China (Chinese Edition)

No. 3, 2022

On the Crossover Study of the New Generation of Artificial Intelligence and Logic

(Abstract)

Liao Beishui

The new generation of artificial intelligence, centering on big data and machine learning technologies, follows a connectionist path. This path has been highly successful in data-intensive applications with relatively closed scenarios, but faces bottlenecks such as poor interpretability, difficulties in ethical alignment and weak cognitive reasoning. To some extent, addressing these issues inevitably involves the depiction of information in open, dynamic and realistic environments, as well as the modeling of human reasoning and interpretation mechanisms. Formal argumentation can provide generic mechanisms for knowledge representation and reasoning in incompatible contexts, flexible mechanisms for combining decision factors such as preferences, weights and probabilities, localized and modularized semantically efficient computational mechanisms, and interpretable mechanisms based on argumentation and dialogue. The combination of formal argumentation with existing big data and machine learning technologies can be expected to break through existing technical bottlenecks to some extent and promote the healthy development of a new generation of artificial intelligence.