2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
Choice via AI
Christopher Kops, Elias Tsakas
This paper proposes a model of choice via agentic artificial intelligence (AI). A key feature is that the AI may misinterpret a menu before recommending what to choose. A single ac…
A robust measure of complexity
Egor Bronnikov, Elias Tsakas
We introduce a robust belief-based measure of complexity. The idea is that task A is deemed more complex than task B if the probability of solving A correctly is smaller than the p…
Belief identification by proxy
Elias Tsakas
It is well known that individual beliefs cannot be identified using traditional choice data, unless we exogenously assume state-independent utilities. In this paper, I propose a no…
Belief identification with state-dependent utilities
Elias Tsakas
It is well known that individual beliefs cannot be identified using traditional choice data, unless we impose the practically restrictive and conceptually awkward assumption that u…
Identification of misreported beliefs
Elias Tsakas
It is well-known that subjective beliefs cannot be identified with traditional choice data unless we impose the strong assumption that preferences are state-independent. This is se…