✳flâneur — a map of the web's best reading

[1508.04145] Reflective Oracles: A Foundation for Classical Game Theory

arxiv.org · 702 words · saved by 1 readers

Classical game theory treats players as special---a description of a game contains a full, explicit enumeration of all players---even though in the real world, "players" are no more fundamentally special than rocks or clouds. It isn't trivial to find a decision-theoretic foundation for game theory in which an agent's coplayers are a non-distinguished part of the agent's environment. Attempts to model both players and the environment as Turing machines, for example, fail for standard diagonalization reasons. In this paper, we introduce a "reflective" type of oracle, which is able to answer questions about the outputs of oracle machines with access to the same oracle. These oracles avoid diagonalization by answering some queries randomly. We show that machines with access to a reflective oracle can be used to define rational agents using causal decision theory. These agents model their environment as a probabilistic oracle machine, which may contain other agents as a non-distinguished part. We show that if such agents interact, they will play a Nash equilibrium, with the randomization in mixed strategies coming from the randomization in the oracle's answers. This can be seen as providing a foundation for classical game theory in which players aren't special.

[1508.04145] Reflective Oracles: A Foundation for Classical Game Theory --> Computer Science > Artificial Intelligence arXiv:1508.04145 (cs) [Submitted on 17 Aug 2015] Title: Reflective Oracles: A Foundation for Classical Game Theory Authors: Benja Fallenstein , Jessica Taylor , Paul F. Christiano View a PDF of the paper titled Reflective Oracles: A Foundation for Classical Game Theory, by Benja Fallenstein and 2 other authors View PDF Abstract: Classical game theory treats players as special---a description of a game contains a full, explicit enumeration of all players---even though in the re

Explore this link on the map →

saved by

related reading