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 equilibrium approximately 70%...

The paper tests experimentally for limited foresight in sequential games. We develop a general out-of-equilibrium framework of strategic thinking based on limited foresight. It assumes the players take decisions focusing on close-by nodes, following backward induction – what we call limited...

Recovering from unanticipated disasters is critical in today’s global market. This paper examines the effectiveness of popular recovery strategies used to address unpredictable disasters that derail supply chains. We create a formal model to portray dynamic operational performance among supply...

This chapter reviews recent experimental data testing game theory and behavioral models that have been inspired to explain those data. The models fall into four groups: in cognitive hierarchy or level- k models, the assumption of equilibrium is relaxed by assuming agents have beliefs about other...

In der betriebswirtschaftlichen Realität werden riskante Entscheidungen meistens nach vorherigen Gewinn- oder Verlusterfahrungen getroffen und empirische Beobachtungen legen nahe, dass vorherige derartige Erfahrungen das aktuelle Risikoverhalten beeinflussen. Da dieser Umstand in den...

The purpose of this paper is to reexamine the seminal belief elicitation experiment by Nyarko and Schotter (2002) under the prism of pattern recognition. Instead of modeling elicited beliefs by a standard weighted fictitious play model this paper proposes a generalized variant of fictitious...

This paper is concerned with the modeling of strategic change in humans’ behavior when facing different types of opponents. In order to implement this efficiently a mixed experimental setup was used where subjects played a game with a unique mixed strategy Nash equilibrium for 100 rounds...