Bidirectional Optimization from Reasoning and Learning in Games

被引:10
作者
Franke M. [1 ]
Jäger G. [1 ]
机构
[1] Department of Linguistics, University of Tübingen, Tubingen
关键词
Bidirectional optimality theory; Game theory; Iterated best response; Reinforcement learning; Signaling games;
D O I
10.1007/s10849-011-9151-z
中图分类号
学科分类号
摘要
We reopen the investigation into the formal and conceptual relationship between bidirectional optimality theory (Blutner in J Semant 15(2):115-162, 1998, J Semant 17(3):189-216, 2000) and game theory. Unlike a likeminded previous endeavor by Dekker and van Rooij (J Semant 17:217-242, 2000), we consider signaling games not strategic games, and seek to ground bidirectional optimization once in a model of rational step-by-step reasoning and once in a model of reinforcement learning. We give sufficient conditions for equivalence of bidirectional optimality and the former, and show based on numerical simulations that bidirectional optimization may be thought of as a process of reinforcement learning with lateral inhibition. © 2011 Springer Science+Business Media B.V.
引用
收藏
页码:117 / 139
页数:22
相关论文
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