What is TLDR (Too Long, Didn't Read) provided by Semantic Scholar

TLDR (Too Long, Didn't Read) is an AI generated One-Sentence Summary provided on Semantic Scholar web portal.

1. Go to Semantic Scholar Web portal.

2. Enter "artificial intelligence algorithm" in the search box.

3. Select "Artificial Intelligence, Algorithmic Pricing and Collusion" from the result list. You see more details of the paper displayed.

4. Note the AI generated "TLDR" field saying: It is found that the algorithms consistently learn to charge supracompetitive prices, without communicating with one another, in a workhorse oligopoly model of repeated price competition.

5. Click the "Expand" link to see the original abstract of the paper, which is much longer:

Increasingly, algorithms are supplanting human decision-makers in
pricing goods and services. To analyze the possible consequences, 
we study experimentally the behavior of algorithms powered by Artificial
Intelligence (Q-learning) in a workhorse oligopoly model of repeated
price competition. We find that the algorithms consistently learn to
charge supracompetitive prices, without communicating with one another.
The high prices are sustained by collusive strategies with a finite
phase of punishment followed by a gradual return to cooperation. This
finding is robust to asymmetries in cost or demand, changes in the
number of players, and various forms of uncertainty.
... 

⇒ SSRN (Social Science Research Network)

⇐ Search-As-You-Type on Semantic Scholar

⇑ Semantic Scholar Database

⇑⇑ Research Paper Databases