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New framework analyzes sequential decision-making with computable rules

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This paper introduces a new framework for analyzing sequential decision-making, focusing on endogenous stopping behavior. It defines computable rules using Turing machines and establishes their equivalence with finite automata. The research extends abstract choice theory to infinite sequences of alternatives, providing testable implications and a revealed-preference toolkit to characterize specific choice procedures like threshold-based and satisficing methods. AI

RANK_REASON Academic paper published on arXiv detailing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework analyzes sequential decision-making with computable rules

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Academic paper published on arXiv detailing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Bhavook Bhardwaj, Siddharth Chatterjee ·

    Decisions over Sequences: Computability and Choice

    arXiv:2203.00070v3 Announce Type: replace-cross Abstract: We develop a framework to study situations where decision makers face alternatives sequentially. Within this framework, we focus on endogenous stopping behavior using two broad classes of decision rules: \textit{stopping r…

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