Complexity economics and decision-making: a system dynamics perspective
Abstract
This study analyzes the effect of uncertainty, emotions and cognitive systems, modeled as time delays, on the efficiency of information processing and decision-making through time. These delays increase cognitive load, bounding cognitive capabilities and information processing of the agent. The modeling and simulation method is System Dynamics, drawing from Complexity Economics, Behavioral Economics, Rational Inattention Theory, and Information Theory. Results show that delays impact the entire system, hindering the agent´s ability to process available information fully. We conclude that cognitive efficiency depends on the agent´s cognitive capabilities and its adaptation to fluctuating levels of uncertainty, emotional flow, and cognitive load over time.
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References
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