If more than Analytical Modeling is Needed to Predict Real Agents' Strategic Interaction

TL;DR

This paper discusses the development of an interdisciplinary research infrastructure, including a game description language, to better understand human strategic reasoning in social and economic interactions, highlighting the limitations of purely analytical models.

Contribution

It introduces a domain-specific game description language and emphasizes the importance of interdisciplinary approaches for modeling human strategic behavior.

Findings

Proposes an interdisciplinary game description language.

Highlights the need for beyond analytical models in predicting human agents.

Summarizes ongoing research and its significance.

Abstract

This paper presents the research on the interdisciplinary research infrastructure for understanding human reasoning in game-theoretic terms. Strategic reasoning is considered to impact human decision making in social, economical and competitive interactions. The provided introduction explains and connects concepts from AI, game theory and psychology. First result is a concept of interdisciplinary game description language as a part of the focused interdisciplinary research infrastructure. The need of this domain-specific language is motivated and is aimed to accelerate the current developments. As second result, the paper provides a summary of ongoing research and its significance.