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Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer

Paper recorded by Signals 4 on 2026-09-23 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-23 on arXiv · recorded by Signals 4 on 2026-09-24

Category: cs.AI · 人工智能 · first seen 2026-09-24

Abstract

Consumers increasingly delegate purchasing decisions to Large Language Models (LLMs) acting as surrogate consumers. Using "Tool-Lab," an adaptation of information-board process tracing that places product attributes behind costly tool calls, we examine how marketing pricing cues (i.e., just-below pricing and promotional framing) influence AI shopping agents. Across eight commercially deployed LLMs

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#9 most recent of 380 cs.AI papers we have recorded · ↑ newer: When and Where to Trust the Teacher: Unifying On-Policy Distillation a · ↓ older: AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Lo
Cite this page: Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer: the #9 most recent of 380 cs.AI papers we have recorded (as of 2026-09-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shopping-by-algorithm-how-agentic-ai-deploys-human-heuristics-as-a-surrogate-con.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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