Search Results for author: Noam Nisan

Found 5 papers, 1 papers with code

Learning to Maximize Gains From Trade in Small Markets

no code implementations21 Jan 2024 Moshe Babaioff, Amitai Frey, Noam Nisan

We study the problem of designing a two-sided market (double auction) to maximize the gains from trade (social welfare) under the constraints of (dominant-strategy) incentive compatibility and budget-balance.

How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents

no code implementations14 Dec 2021 Yoav Kolumbus, Noam Nisan

The usage of automated learning agents is becoming increasingly prevalent in many online economic applications such as online auctions and automated trading.

Auctions Between Regret-Minimizing Agents

no code implementations22 Oct 2021 Yoav Kolumbus, Noam Nisan

We analyze a scenario in which software agents implemented as regret-minimizing algorithms engage in a repeated auction on behalf of their users.

Beyond Pigouvian Taxes: A Worst Case Analysis

no code implementations26 Jul 2021 Moshe Babaioff, Ruty Mundel, Noam Nisan

We observe that this social inefficiency may be unbounded, and study whether alternative tax structures may lead to milder losses in the worst case, i. e. to a lower price of anarchy.

Bertrand Networks

1 code implementation25 Apr 2013 Moshe Babaioff, Brendan Lucier, Noam Nisan

We study scenarios where multiple sellers of a homogeneous good compete on prices, where each seller can only sell to some subset of the buyers.

Computer Science and Game Theory J.4; F.2.2

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