Academic Journal

Agents Are Not Enough

Bibliographic Details
Title: Agents Are Not Enough
Authors: Chirag Shah, Ryen W. White
Source: Computer. 58:87-92
Publication Status: Preprint
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Publication Year: 2025
Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Multiagent Systems, Human-Computer Interaction (cs.HC), Multiagent Systems (cs.MA)
Description: 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.
Document Type: Article
ISSN: 1558-0814
0018-9162
DOI: 10.1109/mc.2025.3575829
DOI: 10.48550/arxiv.2412.16241
Access URL: http://arxiv.org/abs/2412.16241
Rights: IEEE Copyright
CC BY NC ND
Accession Number: edsair.doi.dedup.....bfb1183c9b606fccda914ae9586a9ffa
Database: OpenAIRE
Description
ISSN:15580814
00189162
DOI:10.1109/mc.2025.3575829