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Agents Are Not Enough

2024/12/19 by Chirag Shah, Ryen W. White, Shah, Chirag +1 · 11 voices · 5 citations
Computer Science · Psychology · #AI in Service Interactions #Artificial Intelligence in Games #Economics #Social Robot Interaction and HRI #cs.AI #cs.HC #cs.MA

paper · pdf · doi:10.48550/arxiv.2412.16241

published in arXiv (Cornell University) (Cornell University)

openalex publication_date 2024/12/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In the midst of the growing integration of Artificial Intelligence (AI) into various aspects of our lives, agents are experiencing a resurgence. These autonomous programs that act on behalf of humans are neither new nor exclusive to the mainstream AI movement. By exploring past incarnations of agents, we can understand what has been done previously, what worked, and more importantly, what did not pan out and why. This understanding lets us to examine what distinguishes the current focus on agents. While generative AI is appealing, this technology alone is insufficient to make new generations of agents more successful. To make the current wave of agents effective and sustainable, we envision an ecosystem that includes not only agents but also Sims, which represent user preferences and behaviors, as well as Assistants, which directly interact with the user and coordinate the execution of user tasks with the help of the agents.

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