Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

Today, humans interact with automation frequently and in a variety of settings ranging from
private to professional. Their behavior in these interactions has attracted considerable …

We suggest that AI can help decision‐makers learn; specifically, that it can help them learn
strategic interactions by serving as artificial training partners and thus help them to …

We cooperate with other people despite the risk of being exploited or hurt. If future artificial
intelligence (AI) systems are benevolent and cooperative toward us, what will we do in …

In the future, artificially intelligent algorithms will make more and more decisions on behalf of
humans that involve humans' social preferences. They can learn these preferences through …

Today, humans interact with technology frequently and in a variety of settings ranging from
private to professional. Their behavior in these interactions has attracted considerable …

Abstract Research Summary We apply a resource‐based view to investigate how the
adoption of Artificial Intelligence (AI) affects competitive capabilities and performance …

In this paper, we trace four origins of agent-based computational economics (ACE), namely,
the markets origin, the cellular-automata origin, the tournaments origin, and the experiments …

The actions of intelligent agents, such as chatbots, recommender systems, and virtual
assistants are typically not fully transparent to the user. Consequently, users take the risk …

This chapter describes three highly speculative ideas about how artificial intelligence (AI)
and behavioral economics may interact, particular in future developments in the economy …