Building AI Agents

2025-02-02 — 2025-06-07

AI safety
computers are awful together
faster pussycat
language
machine learning
neural nets
NLP
premature optimization
technology
UI
Figure 1

Placeholder while I think about the practicalities and theory of AI agents.

See also Multi agent systems.

1 Factored cognition

Field of study? Or one company’s marketing term?

Factored Cognition | Ought:

In this project, we explore whether we can solve difficult problems by composing small and mostly context-free contributions from individual agents who don’t know the big picture.

2 Incoming

3 References

Bengio, Cohen, Fornasiere, et al. 2025. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
Chen, Dong, Shu, et al. 2023. AutoAgents: A Framework for Automatic Agent Generation.”
Crutchfield, and Jurgens. 2025. Agentic Information Theory: Ergodicity and Intrinsic Semantics of Information Processes.”
Guo, Chen, Wang, et al. 2024. Large Language Model Based Multi-Agents: A Survey of Progress and Challenges.”
Hammond, Chan, Clifton, et al. 2025. Multi-Agent Risks from Advanced AI.”
Kalai, and Lehrer. 1993. Rational Learning Leads to Nash Equilibrium.” Econometrica.
Li, Al Kader Hammoud, Itani, et al. 2023. CAMEL: Communicative Agents for ‘Mind’ Exploration of Large Language Model Society.” In Proceedings of the 37th International Conference on Neural Information Processing Systems. NIPS ’23.
Qu, Dai, Wei, et al. 2025. Tool Learning with Large Language Models: A Survey.” Front. Comput. Sci.
Rosser, and Foerster. 2025. AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds via Self-Improvement.”
Schmidgall, Su, Wang, et al. 2025. Agent Laboratory: Using LLM Agents as Research Assistants.”
Wu, Bansal, Zhang, et al. 2023. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.”