environmental changes and provide feedback, and even alter and shape the environment.
After that, we provide a detailed and thorough introduction to the practical applications of LLM-
based agents and elucidate the foundational design pursuit—“Harnessing AI for good” (§ 4). To start,
we delve into the current applications of a single agent and discuss their performance in text-based
tasks and simulated exploration environments, with a highlight on their capabilities in handling
specific tasks, driving innovation, and exhibiting human-like survival skills and adaptability (§ 4.1).
Following that, we take a retrospective look at the development history of multi-agents. We introduce
the interactions between agents in LLM-based multi-agent system applications, where they engage in
TheRiseandPotentialofLargeLanguageModel BasedAgents