1.4 KiB
1.4 KiB
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
queuedtoskimmedorsummarized?