arXiv AI
Jul 8
A toy framework for single and multi-agent human-AI curiosity ecosystems
arXiv:2607. 06214v1 Announce Type: new Abstract: This paper offers a toy framework for considering curiosity as an ecosystem.
A framework for single and multi-agent human-AI curiosity ecosystems
arXiv:2607. 06214v2 Announce Type: replace Abstract: This paper offers a framework for considering curiosity as an ecosystem.
Related stories
Hugging Face Trending Papers
Jul 7
A toy framework for single and multi-agent human-AI curiosity ecosystems
This paper offers a toy framework for considering curiosity as an ecosystem. First, it suggests that a single agent's inquiry policy (how, when, and why an agent asks a question) depends on how the agent values immediate uncertainty reduction, costs, delayed return, and the value of keeping the question open.
Hugging Face Trending Papers
Aug 4
AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions
Identifying promising scientific ideas remains an important challenge in research practice. Researchers commonly rely on small-group discussions or one-to-one interactions with a single large language model, yet these approaches often expose them to only a limited range of perspectives and directions.
arXiv AI
Aug 5
AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions
arXiv:2608. 03283v1 Announce Type: new Abstract: Identifying promising scientific ideas remains an important challenge in research practice.
arXiv AI
Aug 5
Dr. AGENTONOMICS: A Didactic Experiment of AGENTONOMICS
arXiv:2608. 03524v1 Announce Type: new Abstract: AGENTONOMICS is a framework that treats AI agents as economic entities that can be designed, managed, and governed through an integrated management architecture.
arXiv AI
Jun 19
SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
arXiv:2510. 27568v2 Announce Type: replace Abstract: Solving mathematical reasoning problems requires not only accurate access to relevant knowledge but also careful, multi-step thinking.
arXiv AI
Jun 19
Multi-Agent Transactive Memory
arXiv:2606. 19911v1 Announce Type: new Abstract: The decentralized deployment of LLM agents with diverse capabilities across diverse tasks motivates infrastructure for knowledge sharing across heterogeneous agent populations.
arXiv AI
1d ago
Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent Systems
arXiv:2608. 14667v1 Announce Type: new Abstract: Large language model-based agents are increasingly deployed as collaborators in scientific discovery yet most current work focuses on the autonomous capabilities of "AI Scientists".
arXiv AI
Jul 1
Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
arXiv:2505. 21550v2 Announce Type: replace-cross Abstract: Collaborative agentic AI is projected to transform entire industries by enabling AI-powered agents to autonomously perceive, plan, and act within digital environments.
arXiv AI
Jun 10
Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries
arXiv:2606. 10402v1 Announce Type: cross Abstract: Scientific discovery is often a collective process: researchers share partial results, inspect failed attempts, and build on each other's ideas over long time horizons.
arXiv AI
Jul 14
Multi-Agent LLMs Fail to Explore Each Other
arXiv:2607. 11250v1 Announce Type: cross Abstract: Exploration is essential for reliable autonomy in multi-agent systems, yet it remains unclear whether large language model (LLM) agents can explore effectively when interacting with one another.
OpenAI Blog
Feb 2, 2025
Introducing deep research
An agent that uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for you. Available to Pro users today, Plus and Team next.