In recent years, autonomous agents based on large language models (LLMs) have been continuously developing in terms of architecture, memory, perception, reasoning and action, and have shown the potential to redefine possibilities in multiple fields.
Original: AI Agents : Research & Applications (Accelxr)
Author: Rituals
Translated by: Bai Hua Blockchain
Cover: Photo by Trophim Lapteff on Unsplash
In recent years, the concept of agents has become increasingly important in fields such as philosophy, gaming, and artificial intelligence. Traditionally, an agent refers to an entity that can act autonomously, make choices, and have intentionality, qualities usually associated with humans.
In the field of artificial intelligence, the connotation of agents has become more complex. With the emergence of autonomous agents, these agents can observe, learn, and act independently in their environment, giving the previously abstract concept of agents a concrete form in computational systems. These agents can make decisions, learn from experience, and interact with other agents or humans in increasingly sophisticated ways, without the need for much human intervention.
This article will explore this emerging field of autonomous agents, particularly those based on large language models (LLMs), and their impact on areas such as gaming, governance, science, and robotics. Building on the basic principles of agents, the article will analyze the architecture and applications of AI agents. Through this categorized perspective, we can gain a deeper understanding of how these agents execute tasks, process information, and evolve within their specific operational frameworks.
The objectives of this article include:
- Providing a systematic overview of AI agents and the foundational aspects of their architecture, with a focus on components such as memory, perception, reasoning, and planning.
- Exploring the latest trends in AI agent research, highlighting their applications in redefining possibilities.
Note: Due to the length of the article, this translation has been abridged.
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