Liao BeiShui

School of Philosophy, zhejiang university

　bet365 Play online games A New Generation of Artificial Intelligence (NGAI), CurrenTly Based on Big Data and Machine Learning, Follows a Path of Connectionism. Although this path achieves huge Success in data-inTensive Applications Under Closed ENVIRONMENTS., There are some bottleneck proplems, Including a lack of explainability, The Diffical of Ethical Alignment, The Weakness of Cognitive Reasoning, ETC. To Address the Privems Invitably Involves the Depicting from An Open, Dynamic and Real Environment and the Modeling of Human Reasoning and Explanation Mechanisms. US Types of Knowledge Representation and Reasoning in A Context of Disagreement, And is Flexible Enough to Incorporate Other Types of Knowledge for DeCisionMaking, Such as preferences, Weights, and Probabilities. Meanwhile, TheRE VARIOUS APPROACHES for Efficient Computation of Argumentation Semantics by Exploiting The Locality and Modularity of Argumentation, And for Providing Explanations Based on Arguments and Dialogues. The Organic Combination of Formal Arguments ING Techniques can be extended to break the thought technical bottlenecks and facilities the sunable development of ngai.

　　Keywords: New Generation of Artificial Intelligence (NGAI), Cognitive Reasoning, Ethical Alignment, Explainability, Formal Argumentation