เข้าใจทุกเรื่องใน 2 นาที ChatGPT เปิดตัว Study Mode

Ans Perfect. Here’s the high-level plan I’ll drive us through—think of it as a layered roadmap from foundational ideas to practical intuition:

🔹 Phase 1: Core Foundations
1. What is Game Theory, really?

Strategic interaction, rational agents, assumptions.

2. Types of Games

Cooperative vs non-cooperative

Simultaneous vs sequential

Zero-sum vs non-zero-sum

3. Basic Concepts

Players, strategies, payoffs, information

Dominant strategies

Nash equilibrium (core to nearly everything)

🔸 Phase 2: Classic Games & Concepts

4. Famous Games

Prisoner’s Dilemma

Chicken

Battle of the Sexes

Stag Hunt

Matching Pennies

5. Mixed Strategy Equilibria

When no pure strategy works

Randomization and expected payoffs

🔹 Phase 3: Deepening the Model

6. Repeated Games & Folk Theorems

Cooperation emerging over time

Tit for Tat, Grim Trigger, etc.

7. Extensive-Form Games

Game trees, backward induction

Subgame Perfect Equilibria

8. Bayesian Games

Games with incomplete information

Beliefs, types, and expected utility

🔸 Phase 4: Real-Life Relevance

9. Mechanism Design / Reverse Game Theory

Voting systems, auctions, contracts

10. Behavioral Game Theory

Bounded rationality, fairness, heuristics

11. Daily Life Applications

Negotiation, dating, politics, AI systems, etc.


🔹 Phase 5: Advanced & Optional

12. Evolutionary Game Theory

Strategies that reproduce over time

13. Algorithmic Game Theory

Network effects, internet auctions

14. Your world: How it matters to Parker

Systems design, incentives, power structures


Throughout this, I’ll mix in:

1. Guided examples

2. Thought experiments

3. Real-life situations to map theory onto

4. Quick checks to make sure ideas are sticking

Let’s kick off Phase 1.
First quick one: In your own words, what do you think Game Theory is about? No need to be polished—just get it out.

Question: I think Game Theory is sort of this meta aspect framing of modern society in life where we look at people in situations and complex systems and we try to analyze how people in them make decisions, sometimes why they make it, and how this affects the situation/system
Nice—you’re already circling the core.

Let’s sharpen it a bit together. Game Theory is fundamentally about strategic decision-making—situations where the outcome for each person depends not just on what they do, but on what others do too.

So real quick:

If you’re making a decision and it depends entirely on nature or chance—like a dice roll—is that Game Theory?

And then:

If you’re making a decision and it depends on what someone else does—like whether they cooperate or betray you—is that Game Theory?

Walk me through your thinking on both.

No random chance isn’t game theory, though agents in game theory may end up having things depend on random chance. But if youre decision matters then of course it is. Also please remember you should be teaching this to me, via paragraphs of information and moving through a high level plan. If I want to do interactions and questions, I will ask. Continue
Got it—I’ll stay in teaching mode and drive forward through the roadmap unless you tap in.

📍Phase 1: Core Foundations — What Game Theory Is

At its heart, Game Theory studies strategic interactions: any situation where the outcome for each agent (person, company, nation, etc.) depends on the actions of others. It’s not about games in the traditional sense, but rather any “game” where decisions must be made in the presence of others who are also making decisions.

Key Assumptions (Classical Game Theory):

1. Rational agents – Everyone acts to maximize their own utility (whatever that means to them).

2. Strategic thinking – Agents consider what others might do before acting.

3. Common knowledge – Everyone knows the rules, the payoffs, and that everyone is rational (though later variants relax this).

🧩 Core Building Blocks

Here are the elements every formal game model needs:

Players – The decision-makers.

Strategies – The complete set of actions each player could take.

Payoffs – The outcomes (usually represented numerically) each player receives depending on the combination of strategies chosen.

Rules of play – Whether players move simultaneously or in turns, whether they see each other’s moves, whether they play once or repeatedly.

These get framed into a “game form”, and from there, you look for solutions—most famously, Nash equilibrium (more on that soon).

🎲 Quick Clarification: Game Theory vs Probability

You’re exactly right—pure chance (like dice) isn’t Game Theory. That’s probability theory. But if you are choosing a strategy knowing that others may randomize their own moves? That’s Game Theory.

For example: in rock-paper-scissors, the “optimal” strategy is not deterministic—it’s a mixed strategy, which involves randomizing your choices. But you’re doing so strategically, in response to an opponent.

🧠 Where We’re Going Next
Next up, I’ll walk through types of games (Phase 1 continued), then move into dominant strategies and Nash equilibrium to set up the first actual game analysis.
Let me know if you want to pause, go deeper, or shift gears—but otherwise I’ll keep pressing forward.
I like the rock paper scissors example. Keep going, connecting to my life where possible. want to internalize this to be a better person/decision maker.