# Behavioral Prediction **Domain:** Psychology / Data Science **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** Evolving **Related:** [[AI]], [[wiki/Surveillance|Surveillance]], [[wiki/Behavioral Modification|Behavioral Modification]], [[wiki/Information Asymmetry|Information Asymmetry]], [[Behavioral State Configuration]], [[Actuarial Risk Modeling]], [[Control Systems]] --- ## Definition **Behavioral Prediction** refers to **the use of empirical data, psychological models, and machine learning to forecast the future actions, choices, or behavioral patterns of individuals or populations under specified conditions**. Predictions can target compliance likelihood, consumption patterns, political behavior, or risk of specific actions. --- ## General Context Behavioral science has established patterns in human decision-making: cognitive biases, preference reversals, context effects, and herd behavior. Predictive models leverage these patterns plus personal data to forecast behavior. Predictions are used in marketing, criminal justice, insurance, and increasingly, governance. Accuracy varies with data quality, model specification, and the stability of underlying behavior patterns. Predictions can become self-fulfilling when systems enforce outcomes based on predictions. --- ## Climate Meritocracy Context Climate-meritocracy systems use behavioral prediction to forecast compliance with adaptation mandates, resource rationing, and relocation requirements. Predictions feed [[Algorithmic Determinations]] on provision and enforcement. --- ## Computational Governance Context [[articles/How Meteorology, Climatology, and Climate Data Shape the World|Climate Data as Strategic Intelligence]] describes behavioral meteorology—using climate patterns to predict and shape population behavior. --- ## Planetary Sensing Context Behavioral prediction integrates sensor data (biometric, locational, transactional) with climate data to generate detailed forecasts of individual and collective response to climate stress. --- ## Key Insight **Behavioral prediction becomes part of a control mechanism when the forecast changes how the subject is classified or treated. The intervention can then help manufacture the behavior that the model appears merely to predict.** --- ## See Also [[wiki/Surveillance|Surveillance]], [[wiki/Behavioral Modification|Behavioral Modification]], [[wiki/Information Asymmetry|Information Asymmetry]], [[Algorithmic Determinations]], [[Biometric Credentials]], [[Big Data Project]], [[Climate Modeling]], [[Cognitive Enhancement]] ## Simple Reminders, Quotations, and Thoughts > "Humans spend between 25% and 50% of our mental life prospecting the future." > **— Martin Seligman**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Humans Spend Half Their Mental Lives in the Future by Martin Seligman|Humans Spend Half Their Mental Lives in the Future by Martin Seligman]] > "In the future, network phenomena like block-chains, the technology behind crypto-currencies, may be the route to the most radical examples of machine intelligence." > **— Matt Ridley**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Networks May Become the Most Radical Machine Intelligence by Matt Ridley|Networks May Become the Most Radical Machine Intelligence by Matt Ridley]] > "I do not believe that machines that think exist, or that they are likely to exist in the foreseeable future." > **— Freeman Dyson**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Thinking Machines May Not Arrive Soon by Freeman Dyson|Thinking Machines May Not Arrive Soon by Freeman Dyson]] > "Typicality implies our likely demise in the next million years. But it tells us nothing about whether this will come at the hands (or other appendages) of an artificial intelligence; after all, there is no shortage of doomsday scenarios." > **— Raphael Bousso**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Existential Risk/Typicality Predicts Humanity’s Demise Within a Million Years by Raphael Bousso|Typicality Predicts Humanity’s Demise Within a Million Years by Raphael Bousso]] > "As our lives become increasingly recorded, archived and accessed we have become cannibals obsessed with consuming our history and terrified of transgressing its established norms." > **— Hans Ulrich Obrist**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/We Are Becoming Cannibals of Our Recorded History by Hans Ulrich Obrist|We Are Becoming Cannibals of Our Recorded History by Hans Ulrich Obrist]]