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Home > Love > Love Economics > A Behavioral Model of Love

A Behavioral Model of Love

Behavioral models are abstractions of reality and are used to help understand, explain, and predict behavior. Behavioral models are usually written as math equations. They exist in almost every discipline including Physics, Chemistry, and Economics. In Psychology, these models are used to understand and predict human behavior. The field of Psychology is divided into four major disciplines: 1. Personality (e.g. introvert versus extroverts), 2. Developmental (e.g. how kids grow up), 3. Cognitive (e.g. brain processes), and 4. Social (e.g. how external forces affect behavior).

Discipline Behavioral Model Founder
Politics Communism Karl Marx
Physics Theory of Relativity Albert Einstein
Chemistry Acid-Base Theory Svante Arrhenius
Astronomy Copernican System Galileo Galilei
Economics Capitalism Adam Smith
Personality Psychology Freudian Psychoanalysis Sigmund Freud
Developmental Psychology Mental Growth Stages Jean Paiget
Social Psychology Conformity Solomon Asch
Cognitive Psychology Language Learning Noam Chomsky

Love economics could be a disciplinary branch of microeconomics, the study of individual consumers or households and how they make decisions. However, it fits better under the discipline of Social Psychology, which explores how individuals are affected by their social environment. Social environment could be just another person, a small group, a community, or a society. Social Psychology is the study of how people feel, influence, and relate to one another. Love economics is an extension of the Social Exchange Theory, which explains social interactions in economic terms, benefits and costs. At the center of love economics is the Love Economic Model, or the Model. I have created a mathematical model that could predict and explain all human behavior pertaining to love. Predictions, insights, and tactics are provided to give you a deeper understanding of the dynamics of love.


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Enhance the Love Model

The Theory of Love Economics