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Learning Backward Induction: A Neural Network Agent Approach

  • Spiliopoulos L
Springer Japan, (2011), 61-73
DOI: 10.1007/978-4-431-53907-0_5
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Abstract

This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium. The NNs were found to predict the Nash...

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Spiliopoulos, L. (2011). Learning Backward Induction: A Neural Network Agent Approach. In Agent-Based Approaches in Economic and Social Complex Systems VI (pp. 61–73). Springer Japan. https://doi.org/10.1007/978-4-431-53907-0_5

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