A (Dis-)information Theory of Revealed and Unrevealed Preferences: Emerging Deception and Skepticism via Theory of Mind

Author:

Alon Nitay12ORCID,Schulz Lion2ORCID,Rosenschein Jeffrey S.1ORCID,Dayan Peter13ORCID

Affiliation:

1. Department of Computer Science, The Hebrew University of Jerusalem, Jerusalem, Israel

2. Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

3. Department of Computer Science, University of Tübingen, Tübingen, Germany

Abstract

AbstractIn complex situations involving communication, agents might attempt to mask their intentions, exploiting Shannon’s theory of information as a theory of misinformation. Here, we introduce and analyze a simple multiagent reinforcement learning task where a buyer sends signals to a seller via its actions, and in which both agents are endowed with a recursive theory of mind. We show that this theory of mind, coupled with pure reward-maximization, gives rise to agents that selectively distort messages and become skeptical towards one another. Using information theory to analyze these interactions, we show how savvy buyers reduce mutual information between their preferences and actions, and how suspicious sellers learn to reinterpret or discard buyers’ signals in a strategic manner.

Funder

Israel Science Foundation

Max Planck Society

Humboldt Foundation

Machine Learning Cluster of Excellence

Publisher

MIT Press

Subject

Cognitive Neuroscience,Linguistics and Language,Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference67 articles.

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