arXiv Open Access 2026

Can machines be uncertain?

Luis Rosa
Lihat Sumber

Abstrak

The paper investigates whether and how AI systems can realize states of uncertainty. By adopting a functionalist and behavioral perspective, it examines how symbolic, connectionist and hybrid architectures make room for uncertainty. The paper distinguishes between epistemic uncertainty, or uncertainty inherent in the data or information, and subjective uncertainty, or the system's own attitude of being uncertain. It further distinguishes between distributed and discrete realizations of subjective uncertainty. A key contribution is the idea that some states of uncertainty are interrogative attitudes whose content is a question rather than a proposition.

Topik & Kata Kunci

Penulis (1)

L

Luis Rosa

Format Sitasi

Rosa, L. (2026). Can machines be uncertain?. https://arxiv.org/abs/2603.02365

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2026
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓