Consider the payoff matrix below with actions, states of nature, and prior probabilities. 0.20 0.30 0.50 S1 S2 S3 a1 az 1 a3 4 4 -1 gnore the prior probabilities. Which action should be taken based on the Hurwicz criterion with an index of optimism 0.6? O only a3 O none since the Hurwicz criterion does not apply O only a2 O only a1
Consider the payoff matrix below with actions, states of nature, and prior probabilities. 0.20 0.30 0.50 S1 S2 S3 a1 az 1 a3 4 4 -1 gnore the prior probabilities. Which action should be taken based on the Hurwicz criterion with an index of optimism 0.6? O only a3 O none since the Hurwicz criterion does not apply O only a2 O only a1
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![Title: Decision-Making Using the Hurwicz Criterion
**Payoff Matrix and Decision Analysis**
Consider the payoff matrix below featuring actions, states of nature, and prior probabilities:
| | 0.20 (s₁) | 0.30 (s₂) | 0.50 (s₃) |
|---------------|-----------|-----------|-----------|
| **a₁** | 3 | 5 | 2 |
| **a₂** | 1 | 6 | 4 |
| **a₃** | 4 | 4 | -1 |
**Decision Problem:**
*Goal:* Identify the optimal action using the Hurwicz criterion with an optimism index (α) of 0.6. The Hurwicz criterion is a decision rule in which a linear combination of the best and worst payoff for each action is calculated, using the given index of optimism. Ignore prior probabilities when making your decision.
**Steps to Apply the Hurwicz Criterion:**
1. **Calculate for Each Action:**
- Maximum Payoffs:
- a₁: max(3, 5, 2) = 5
- a₂: max(1, 6, 4) = 6
- a₃: max(4, 4, -1) = 4
- Minimum Payoffs:
- a₁: min(3, 5, 2) = 2
- a₂: min(1, 6, 4) = 1
- a₃: min(4, 4, -1) = -1
2. **Calculate Hurwicz Criterion Value for Each Action:**
- a₁: [0.6 * 5] + [0.4 * 2] = 3 + 0.8 = 3.8
- a₂: [0.6 * 6] + [0.4 * 1] = 3.6 + 0.4 = 4.0
- a₃: [0.6 * 4] + [0.4 * (-1)] = 2.4 - 0.4 = 2.0
**Decision:**
Choose the action with the highest value according to](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F88e84a40-2ab9-4b1b-97f3-40eaaaf2763c%2F0cb913d3-e475-42f6-b97b-8b159e31221b%2Fqrrn1i9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Title: Decision-Making Using the Hurwicz Criterion
**Payoff Matrix and Decision Analysis**
Consider the payoff matrix below featuring actions, states of nature, and prior probabilities:
| | 0.20 (s₁) | 0.30 (s₂) | 0.50 (s₃) |
|---------------|-----------|-----------|-----------|
| **a₁** | 3 | 5 | 2 |
| **a₂** | 1 | 6 | 4 |
| **a₃** | 4 | 4 | -1 |
**Decision Problem:**
*Goal:* Identify the optimal action using the Hurwicz criterion with an optimism index (α) of 0.6. The Hurwicz criterion is a decision rule in which a linear combination of the best and worst payoff for each action is calculated, using the given index of optimism. Ignore prior probabilities when making your decision.
**Steps to Apply the Hurwicz Criterion:**
1. **Calculate for Each Action:**
- Maximum Payoffs:
- a₁: max(3, 5, 2) = 5
- a₂: max(1, 6, 4) = 6
- a₃: max(4, 4, -1) = 4
- Minimum Payoffs:
- a₁: min(3, 5, 2) = 2
- a₂: min(1, 6, 4) = 1
- a₃: min(4, 4, -1) = -1
2. **Calculate Hurwicz Criterion Value for Each Action:**
- a₁: [0.6 * 5] + [0.4 * 2] = 3 + 0.8 = 3.8
- a₂: [0.6 * 6] + [0.4 * 1] = 3.6 + 0.4 = 4.0
- a₃: [0.6 * 4] + [0.4 * (-1)] = 2.4 - 0.4 = 2.0
**Decision:**
Choose the action with the highest value according to
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