The development of artificial intelligence and machine learning is leading to a revolution in the way we think about economic decisions. The Economics of Language explores how the use of generative AI and large language models (LLMs) can transform the way we think about economic behaviour. It introduces the LENS framework (Linguistic content triggers Emotions and suggests Norms, which shape Strategy choice) and presents empirical evidence that LLMs can predict human behaviour in economic games more accurately than traditional outcome-based models. It draws on years of research to provide a step-by-step development of the theory, combining accessible examples with formal modelling. Offering a roadmap for future research at the intersection of economics, psychology, and AI, this book equips readers with tools to quantify the role of language in decision-making and redefines how we think about utility, rationality, and human choice.
Loading metrics...
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.
The HTML of this book conforms to version 2.0 of the Web Content Accessibility Guidelines (WCAG), ensuring core accessibility principles are addressed and meets the basic (A) level of WCAG compliance, addressing essential accessibility barriers.
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
You get concise descriptions (for images, charts, or media clips), ensuring you do not miss crucial information when visual or audio elements are not accessible.
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.