Tversky
PulseAugur coverage of Tversky — every cluster mentioning Tversky across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LLMs show human-like probability distortion but less loss aversion, study finds
A meta-analysis of 102 fitted estimates from 11 studies indicates that large language models (LLMs) exhibit some, but not all, characteristics of prospect theory observed in human decision-making. While LLMs show modest…
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AI learns diverse human preferences beyond universal utility
Researchers have developed a new framework for learning heterogeneous preferences in AI systems, moving beyond the assumption of a universal utility function. This approach, inspired by rational choice theory, uses "ind…
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New RL trading system ViperQ integrates Auction Market Theory
Researchers have developed ViperQ, a reinforcement learning system designed for trading that incorporates principles from Auction Market Theory. This system utilizes a unique state representation derived from market mic…
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Consumer trust in AI for purchases remains low, especially for expensive items
Consumers are hesitant to trust AI with significant purchasing decisions, primarily due to concerns about receiving poor recommendations and overspending. A survey indicated that most shoppers would only allow AI to mak…
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Kahneman and Tversky's availability heuristic explained
The concept of availability heuristic, described by Kahneman and Tversky, suggests that people tend to overestimate the likelihood of events that are more easily recalled or understood. This cognitive bias influences ou…
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User begins "Rationality: From AI to Zombies," notes author's self-critique
A LessWrong user has begun reading "Rationality: From AI to Zombies," a lengthy book on rational belief and decision-making. The user notes the author, EY, identified several mistakes in the original "Sequences" text, i…