Algorithm Reasoning

Expert Systems: An Overview of Knowledge-Based Intelligent Reasoning

by
Expert Systems: An Overview of Knowledge-Based Intelligent Reasoning

Expert Systems are knowledge-based intelligent reasoning systems that involve research into knowledge acquisition, knowledge bases, reasoning control mechanisms, and intelligent human-computer interfaces. They integrate artificial intelligence and domain knowledge, marking a milestone as expert systems have rapidly developed and been widely applied in various fields, significantly advancing the trend towards intelligence in practical applications. Expert … Read more

Research on Explainable Knowledge Graph Reasoning

by
Research on Explainable Knowledge Graph Reasoning

About 6600 words in this article, recommended reading time is 5 minutes. The theme of this presentation is research on explainable knowledge graph reasoning. The report is divided into the following 5 parts: Research Background Frontier Progress Research Motivation Recent Research Research Outlook 01 Research Background 1. Introduction First, let’s introduce the background. After more … Read more

Three Core Abilities of GPT Explained

by
Three Core Abilities of GPT Explained

Through the previous two articles in this series, we learned about what large language models are and roughly understood the training process of large language models. After completing the training of GPT, computer scientists discovered that it exhibited many surprising abilities. Understanding these abilities is crucial for us to comprehend, learn, and utilize GPT. This … Read more

Capabilities Hierarchy of Intelligent Agents

by
Capabilities Hierarchy of Intelligent Agents

The capabilities of intelligent agents can be classified based on their level of intelligence and the complexity of their functions. Different levels of intelligent agents exhibit significant differences in handling task complexity, learning ability, decision-making ability, and adaptability. These classifications help researchers and engineers understand and design intelligent systems, and choose appropriate technologies and methods … Read more

Exploring the Evolution of Application Engineering Architecture in the AI Era

by
Exploring the Evolution of Application Engineering Architecture in the AI Era

AliMei’s Introduction Contemporary AI is surging forward. This article analyzes the evolution of application engineering architecture in the AI era from the characteristics of AI, the challenges it poses to development, and the differentiation of AI applications and scenarios. Preface In the current era of generative models, understanding and utilizing AI-related technologies is something that … Read more

Will OpenAI O3 Hit a Wall on the AGI Path?

by
Will OpenAI O3 Hit a Wall on the AGI Path?

Click Follow us by clicking the blue text above Cover image: Unlike the extension law during the pre-training phase, the performance test data for O3 shows the plasticity of model inference behavior in the post-training phase. “ 𝕀²·ℙarad𝕚g𝕞 Intelligent Square Paradigm Research: Writing Deconstructive Intelligence。 O3 is OpenAI’s L2 stage AGI product, the LLM inference … Read more

Exploring Neural Algorithm Reasoning in Graphs

by
Exploring Neural Algorithm Reasoning in Graphs

Developing artificial intelligence systems with advanced reasoning capabilities is a long-standing research problem. Traditionally, the main strategy for addressing this challenge involves the use of symbolic methods, where knowledge is explicitly represented through symbols and implemented through explicitly programmed rules. However, with the emergence of machine learning, systems have shifted towards being able to learn … Read more