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I&C 2024

Secretive interaction

Journal Article journal-article Computer Science ยท Theoretical Computer Science

Abstract

We study the behaviour of n players engaged in a conversation, each attempting to predict the behaviour of the others. We prove that, under a certain notion of interaction, it is possible to learn all other players, but, generally, not without being learned back. We then focus on the interaction of two players and consider, for different methodological restrictions based on the philosophy of science, whether some form of secretive learning can be achieved.

Authors

Keywords

  • Inductive inference
  • Interactive learning
  • Secrecy
  • Learning strategies

Context

Venue
Information and Computation
Archive span
1987-2026
Indexed papers
3021
Paper id
1081793732983680329
v2026.09.13