Assignment Description:
Strategic Decision-Making with Game Theory and AI Tools
In this assignment, you will apply core game theory conceptssuch as Nash equilibrium, dominant strategies, sequential decision-making, and entry deterrenceto a real or simulated business scenario. You will enhance your analysis using an AI-powered tool (such as ChatGPT, Google’s Gemini, or another large language model) to help simulate, analyze, or critique strategic behavior in a competitive environment.
The goal is to explore how artificial intelligence can be used to support strategic economic reasoning in dynamic, competitive settings.
Step 1: Select or design a scenario
Choose one of the following (or propose your own, with instructor approval):
- A pricing competition between two tech firms (e.g., Apple vs. Samsung)
- A market entry scenario involving an established player and a new entrant (e.g., Amazon vs. an emerging e-commerce platform)
- A repeated game involving cooperative pricing strategies in a regulated industry (e.g., airline ticket pricing)
- A sequential investment game (e.g., Tesla vs. a legacy automaker on EV plant expansion)
- Briefly describe the players, strategies, and stakes involved.
Step 2: Apply game theory concepts
Using the scenario above:
- Identify potential dominant or dominated strategies
- Construct a simple payoff matrix or game tree (if applicable)
- Determine one or more Nash equilibria or use rollback reasoning to analyze sequential moves
- Discuss how the outcome may change if the game is repeated
Step 3: Use AI to support or simulate the decision
Using an AI tool (e.g., ChatGPT):
- Ask the AI to play the role of a competitor, simulate a response, or critique your strategic recommendations
- Alternatively, ask the AI to generate variations in strategies and predict how outcomes might shift under different assumptions (e.g., changes in costs, preferences, or market rules)
- Document your interaction and summarize the AI’s contribution to your analysis
Example prompts you might use with the AI:
- “Given this payoff matrix, what would be the Nash equilibrium and why?”
- “If Firm A expands capacity, how should Firm B respond based on backward induction?”
- “Simulate a tit-for-tat strategy in a repeated pricing gamehow sustainable is cooperation?”
Step 4: Reflect on AI’s role in economic decision-making
- In a short reflection (200300 words), discuss:
- How helpful was the AI in identifying or validating your strategic analysis?
- Did the AI offer any insight you hadnt considered?
- What are the benefits and limitations of using AI in economic strategy or consulting?
The following specifications are required for this assignment:
- Length: 1250-1750 words; answers must thoroughly address the questions in a clear, concise manner.
- Structure: Include a title page and reference page in APA style. These do not count toward the minimum word amount for this assignment.
- References: Use the appropriate APA style in-text citations and references for all resources utilized to answer the questions. Include at least three (3) scholarly sources to support your claims.

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