Most students around the world begin microeconomics in the same way. They are shown a diagram. Demand slopes downward. Supply slopes upward. The two curves cross. That crossing point is called equilibrium.

From there, the course usually moves quickly into equations, curves, optimization, and mathematical techniques.

This is the standard way of teaching microeconomics.

In this course, we will take a different path.

We will begin not with curves, but with people. We will begin with buyers and sellers, students and landlords, workers and employers, firms and customers. We will ask what they know, what they want, how they meet, how they bargain, how they make contracts, how they make mistakes, how they learn, and how their interaction produces market outcomes.

This is the basic idea of Agent Based Microeconomics.

An economy is not made of curves. It is made of agents. Agents are decision-makers. They have limited information. They face uncertainty. They act under rules. They interact with others. They adapt when circumstances change. If we want to understand markets, we should begin there.

Why This Approach Is Different

The standard textbook approach uses mathematics as its main language. Mathematics is powerful, but it also creates limits. To write a model in equations, the economist must simplify the world until the equations can be solved. This often means assuming away many of the things that make real markets interesting.

For example, textbook models often assume that buyers and sellers already know the relevant prices, that contracts are simple, that information is available, that people have fixed preferences, and that markets move smoothly toward equilibrium.

These assumptions make the mathematics easier. But they also remove much of the real market process.

This is why many students struggle in microeconomics. They spend enormous effort learning the mathematical machinery, but they often learn very little about how markets actually work. The mathematics becomes the center of attention. The market itself disappears behind the symbols.

In this course, we reverse the order.

We begin with the market process. We ask simple questions:

Who are the agents?
What do they know?
How do they meet?
How are prices formed?
Can trade occur before equilibrium?
What happens when agents make mistakes?
Can contracts be broken or renegotiated?
Is information limited?
Is search costly?
What rules govern exchange?

These are not side questions. They are central questions. They are the questions we must ask if we want to understand real economic life.

Mathematics as a Straitjacket

The problem is not mathematics itself. Mathematics can be useful. The problem arises when mathematics determines what we are allowed to think about.

If a model can only be solved by assuming perfect information, then perfect information enters the model. If the model becomes too difficult when agents learn, adapt, bargain, or make mistakes, then those features are removed. If contracts, institutions, trust, search, and uncertainty make the model mathematically difficult, then they are pushed aside.

In this way, mathematics can become a straitjacket. It forces economics into narrow forms, not because the world is simple, but because the tools require simplicity.

Agent-based modeling frees us from this straitjacket.

In an agent-based model, we describe the world more naturally. We define the agents. We specify their behavior. We state what they know and do not know. We describe how they meet and interact. We specify the rules of the market. Then we see what happens.

In large models, a computer can simulate the interaction. But in this course, we begin with models simple enough to simulate by hand. This is important. We are not trying to impress students with technical complexity. We are trying to understand the economic process clearly.

Later, the same approach can be extended to Excel, programming, and larger simulations. But the foundation must be simple and transparent.

The Diagram Is Not the Market

The first major topic in this course is supply and demand.

The supply-and-demand diagram is the most famous picture in economics. It shows a demand curve, a supply curve, and an equilibrium point.

But the diagram shows only the result. It does not show the process.

It does not tell us who changed the price. It does not tell us what buyers and sellers knew. It does not tell us whether trade occurred before equilibrium. It does not tell us whether contracts were final or tentative. It does not tell us whether search was costly, whether information was limited, or whether agents made mistakes.

The diagram is like a photograph. It freezes the final outcome.

But markets are not photographs. Markets are movies. They unfold over time. People search, meet, bargain, trade, learn, revise plans, and respond to others. If we want to understand markets, we must watch the movie, not merely look at the final photograph.

This is what Agent Based Microeconomics allows us to do.

What You Will Learn in This Unit

In this first unit, we will look beneath the supply-and-demand diagram.

We will begin by understanding the textbook model. We will see how demand and supply curves are constructed. We will examine equilibrium, shortage, surplus, and price adjustment.

Then we will rebuild the same model from agents.

We will create simple buyers and sellers. We will give them rules. We will allow them to meet, make offers, form contracts, and respond to information. We will ask whether the familiar supply-and-demand result emerges. If it does, we will ask what assumptions were needed to produce it.

This will give us a much deeper understanding than simply memorizing the diagram.

We will discover that textbook equilibrium is not automatic. It depends on hidden assumptions about information, search, bargaining, contracts, competition, and institutional rules. Once these assumptions change, the outcome may also change.

That is the power of the agent-based approach. It does not merely give us another way to draw the same curves. It allows us to open the black box and see what is happening inside.

Why This Matters

Many students think that avoiding difficult mathematics means learning economics at a lower level. In this course, the opposite is true.

We avoid unnecessary mathematical complexity in order to study more complex economic reality.

A heavily mathematical model may describe a very simple world. A simple agent-based model may describe a much richer world. It may include limited information, search, bargaining, contracts, mistakes, learning, trust, cooperation, institutions, and time.

The goal is not to make economics easy by making it shallow. The goal is to make economics understandable by making the process visible.

Students who learn this approach will not merely know where the curves cross. They will understand what kind of market process could make the curves cross. They will also understand why the curves may fail to describe real markets when the underlying assumptions do not hold.

This gives a deeper and more flexible understanding of microeconomics.

Before Watching the Video

As you watch the first lecture, keep two questions in mind:

What does the supply-and-demand diagram explain?

And what does it leave unexplained?

The answer to the first question will help us understand why the diagram became so famous.

The answer to the second question will show us why we need Agent Based Microeconomics.