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Artificial Agency Program: Curiosity, compression, and communication in agents
🤖AI Summary
Researchers present the Artificial Agency Program (AAP), a framework for developing AI systems as resource-bounded agents driven by curiosity and learning progress under physical constraints. The program aims to create AI that enhances human capabilities through better sensing, understanding, and action while reducing interface friction between people, tools, and environments.
Key Takeaways
- →The Artificial Agency Program proposes building AI as reality-embedded agents constrained by physical and computational limitations.
- →The framework unifies predictive compression, intrinsic motivation, empowerment, and language communication as information bottlenecks.
- →The research agenda includes a concrete multimodal testbed where agents allocate limited budgets among observation, action, and deliberation.
- →The approach connects intrinsic motivation, information theory, thermodynamics, and bounded rationality in AI development.
- →The goal is to create AI systems that extend human-tool capabilities rather than replace human intelligence.
#artificial-intelligence#research#agent-systems#machine-learning#human-ai-interaction#curiosity-driven-learning#information-theory#bounded-rationality
Read Original →via arXiv – CS AI
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