A framework for single and multi-agent human-AI curiosity ecosystems
This paper offers a 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. A key concept in the framework is that the weights on these decision-related terms can change with experience. For example, a period of cheap, quickly answered questions may change the cost of inquiry on a short timescale and change which kinds of questions the agent is drawn to answer over a longer timescale. Second, these ideas are extended to many agents exploring a shared knowledge l...
| Authors | Ilya E. Monosov |
|---|---|
| Primary category | cs.AI |
| Published | 7 July 2026 |
| Last updated at source | 16 July 2026 |
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