# Paper: The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows

---
type: paper
title: "The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows"
authors: Canhui Liu
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.30986
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-29
updated_at: 2026-06-29
status: queued
relevance: high
topics:
  - memory
  - planning
  - tool-use
  - workflow-agent
  - world-model
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.CY
  - cs.HC
  - cs.MA
  - econ.GN
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 19
collection_queries: agentic-ai, llm-agent
---

## One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

## Why Collected

- matched queries: agentic-ai, llm-agent
- inferred topics: memory, planning, tool-use, workflow-agent, world-model
- arXiv categories: cs.CY, cs.HC, cs.MA, econ.GN
- collection score: 19

## Review Checklist

- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?

## Links

- arXiv: https://arxiv.org/abs/2606.30986