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Computer Science > Artificial Intelligence

arXiv:2404.11584 (cs)
[Submitted on 17 Apr 2024]

Title:The Landscape of Emerging AI Agent Architectures for Reasoning,
Planning, and Tool Calling: A Survey

Authors:Tula Masterman, Sandi Besen, Mason Sawtell, Alex Chao
View a PDF of the paper titled The Landscape of Emerging AI Agent
Architectures for Reasoning, Planning, and Tool Calling: A Survey, by
Tula Masterman and 3 other authors
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    Abstract:This survey paper examines the recent advancements in AI
    agent implementations, with a focus on their ability to achieve
    complex goals that require enhanced reasoning, planning, and tool
    execution capabilities. The primary objectives of this work are
    to a) communicate the current capabilities and limitations of
    existing AI agent implementations, b) share insights gained from
    our observations of these systems in action, and c) suggest
    important considerations for future developments in AI agent
    design. We achieve this by providing overviews of single-agent
    and multi-agent architectures, identifying key patterns and
    divergences in design choices, and evaluating their overall
    impact on accomplishing a provided goal. Our contribution
    outlines key themes when selecting an agentic architecture, the
    impact of leadership on agent systems, agent communication
    styles, and key phases for planning, execution, and reflection
    that enable robust AI agent systems.

Comments: 13 pages,6 figures,38 references
Subjects: Artificial Intelligence (cs.AI); Computation and Language
          (cs.CL)
Cite as:  arXiv:2404.11584 [cs.AI]
          (or arXiv:2404.11584v1 [cs.AI] for this version)
          https://doi.org/10.48550/arXiv.2404.11584
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Sandi Besen [view email]
[v1] Wed, 17 Apr 2024 17:32:41 UTC (1,455 KB)
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    Architectures for Reasoning, Planning, and Tool Calling: A
    Survey, by Tula Masterman and 3 other authors
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