Editorial Comment on the Special Issue of "Information in Dynamical Systems and Complex Systems"

This special issue collects contributions from the participants of the "Information in Dynamical Systems and Complex Systems" workshop, which cover a wide range of important problems and new approaches that lie in the intersection of information theory and dynamical systems. The contributions include theoretical characterization and understanding of the different types of information flow and causality in general stochastic processes, inference and identification of coupling structure and parameters of system dynamics, rigorous coarse-grain modeling of network dynamical systems, and exact statistical testing of fundamental information-theoretic quantities such as the mutual information. The collective efforts reported herein reflect a modern perspective of the intimate connection between dynamical systems and information flow, leading to the promise of better understanding and modeling of natural complex systems and better/optimal design of engineering systems

Price competition, level-k theory and communication

This paper analyzes communication in a price competition game using the level-$k$ theory of bounded rationality. The level-k analysis predicts prices to be higher with communication than without. Our experimental evidence lends support to the view that communication affects subjects in a way that is compatible with the level-k model, indicating that people lie in order to fool other players that they believe do less thinking. Moreover, the results indicate that the predictive power of the level-k model does crucially depend on the possibility for high level players to form homogenous beliefs about the behavior of the level-0 players.Noncooperative Game Theory Communication Bounded Rationality Experiments

Conferring resistance to digital disinformation: the innoculating influence of procedural news knowledge

Despite the pervasiveness of digital disinformation in society, little is known about the individual characteristics that make some users more susceptible to erroneous information uptake than others, effectively dividing the media audience into prone and resistant groups. This study identifies and tests procedural news knowledge as a consequential civic resource with the capacity to inoculate audiences from disinformation and close this “resistance gap.” Engaging the persuasion knowledge model, the study utilizes data from two national surveys to demonstrate that possessing working knowledge of how the news media operate aids in the identification and effects of fabricated news and native advertising.Accepted manuscrip