Network Analysis Process (Analytic Network Process, abbreviated as ANP) is a multi-criteria decision analysis method that helps decision-makers effectively evaluate and rank various options in complex decision environments. Compared to traditional Analytic Hierarchy Process (AHP) (Previous article: What is AHP? Is it suitable for your research?), ANP can handle not only hierarchical structures but also … Read more
AI’s New Frontier in War Planning: How AI Agents Can Revolutionize Military Decision-Making Abstract Throughout history, the rapid changes in geopolitics and the military environment have affected decision-makers’ ability to achieve strategic or operational objectives. In a dynamic environment, adapting too slowly to changing conditions can have catastrophic consequences. Historically, there are numerous examples of … Read more
Reinforcement Learning, abbreviated as RL, is a term you will frequently hear in today’s AI research. RL techniques have been applied in many projects, such as AlphaGo. A Brief The algorithms we learned earlier are actually based on supervised learning. In any case, we provided them with label tags. Whether it’s CNN, RNN, GAN, or … Read more
Authors: Zhang Yuan, You Jiatong Source: China Military Network In modern battlefields, weaponry is becoming increasingly advanced and complex. When encountering problems during use, soldiers often turn to the experts who design or manufacture these weapons. But what if the experts are not available? An applied artificial intelligence system—”Expert System”—has emerged to address this issue. … Read more
This article appears in the “Chinese Management Accounting” 2023, Issue 3 By Fang Yue, Lü Xinghang, China Europe International Business School [Abstract] The Chat Generative Pre-trained Transformer (ChatGPT) has brought generative artificial intelligence (AIGC) into the public eye and sparked interest among managers in using artificial intelligence (AI) to enhance corporate operational efficiency. AI is … Read more
Throughout history, the rapid changes in geopolitical and military environments have affected decision-makers’ ability to achieve strategic or operational objectives. In a dynamic environment, slow adaptation to changing conditions can lead to catastrophic consequences. Historically, there are numerous examples where armies have suffered losses of life, battles, and even wars due to their inability to … Read more
1. What Is an AI Agent? An AI Agent refers to a system or program that can automatically perform tasks for users or other systems by setting workflows and utilizing existing tools to accomplish these tasks. The functions of an AI Agent are not limited to natural language processing, but also include decision-making, problem-solving, interaction … Read more
The popular AI orchestration frameworkLlamaIndex has introduced the Agent Document Workflow (ADW), a new architecture that the company claims surpasses the Retrieval-Augmented Generation (RAG) process and enhances the efficiency of agents. As orchestration frameworks continue to improve, this approach provides organizations with options to enhance agent decision-making capabilities. LlamaIndex states that ADW can assist agents … Read more
With the continuous development of artificial intelligence technology, the distinction between Agentic AI and AI Agents has become a recurring topic. Companies are increasingly asking, “When should we utilize Agentic AI, and when is it better to choose AI Agents?” Although both forms of AI can yield transformative results, the key lies in understanding how … Read more
New Intelligence Report Editor:LRS [New Intelligence Guide] A new paradigm combining large language models and AutoGPT has arrived! This paper presents a comprehensive benchmark study of Auto-GPT agents in real-world decision-making tasks, exploring the application of large language models (LLMs) in decision-making tasks. Paper link:https://arxiv.org/pdf/2306.02224.pdf The authors compared the performance of several popular LLMs (including … Read more