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Learning from each other in a duopoly: Numerical approach

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Publication:1893332
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DOI10.1007/BF02191988zbMath0823.90031MaRDI QIDQ1893332

Georges Zaccour, Boleslaw Tolwinski

Publication date: 3 July 1995

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)


zbMATH Keywords

infinite horizondiscrete timelearning-by-doingdynamic duopolyfeedback Nash equilibrium strategiesprice-setting duopoloy


Mathematics Subject Classification ID

Discrete-time games (91A50) Economic growth models (91B62) Auctions, bargaining, bidding and selling, and other market models (91B26)


Related Items

Dynamics in research joint ventures and R\&D collaborations ⋮ A differential \(R\& D\) game: Implications for knowledge-based growth models



Cites Work

  • The set of maximal closed classes of operations on an infinite set \(A\) has cardinality \(2^{2| A|}\)
  • Impact of anticipated competitive entry and cost experience on optimal strategic pricing of technological innovations
  • Monopolistic Pricing and the Learning Curve: An Algorithmic Approach
  • Oligopoly Models for Optimal Advertising When Production Costs Obey a Learning Curve
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