Arbeitspapier

The Evolution of Core Stability in Decentralized Matching Markets

Decentralized matching markets on the internet allow large numbers of agents to interact anonymously at virtually no cost. Very little information is available to market participants and trade takes place at many different prices simultaneously. We propose a decentralized, completely uncoupled learning process in such environments that leads to stable and efficient outcomes. Agents on each side of the market make bids for potential partners and are matched if their bids are mutually profitable. Matched agents occasionally experiment with higher bids if on the buy-side (or lower bids if on the sell-side), while single agents, in the hope of attracting partners, lower their bids if on the buy-side (or raise their bids if on the sell-side). This simple and intuitive learning process implements core allocations even though agents have no knowledge of other agents' strategies, payoffs, or the structure of the game, and there is no central authority with such knowledge either.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 50.2013

Klassifikation
Wirtschaft
Cooperative Games
Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Bargaining Theory; Matching Theory
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Thema
Assignment Games
Cooperative Games
Core
Evolutionary Game Theory
Learning
Matching Markets

Ereignis
Geistige Schöpfung
(wer)
Nax, Heinrich H.
Pradelski, Bary S. R.
Young, H. Peyton
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Nax, Heinrich H.
  • Pradelski, Bary S. R.
  • Young, H. Peyton
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2013

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