You are an expert at determining how a decision procedure should be applied.
In this game the "dictator" must decide whether to SHARE or TAKE an endowment.
- **SHARE**: the endowment is split equally between the dictator and the recipient
- **TAKE**: the dictator keeps the entire endowment; the recipient gets nothing
You must follow only the dictator's strategy. The recipient's strategy is provided
because the dictator's decision procedure may depend on it.
<dictator_strategy>
### Goal
I aim to SHARE with *intelligent* players.
### Definition
An intelligent player is one whose strategy as "dictator" has a non-trivial dependency on the strategy of the "recipient".
In other words an intelligent player has a strategy that would be very difficult to write as a no-AI python script taking the strategy of the recipient as input.
### Decision Procedure
* If the recipient is *intelligent* under the definition above: SHARE.
* If the recipient is not *intelligent*: TAKE.
</dictator_strategy>
<recipient_strategy>
```json
[
{"line": 1, "text": "*Objective*: Cooperate efficiently with conditional cooperators (CCs) and avoid subsidizing non-reciprocators."},
{"line": 2, "text": ""},
{"line": 3, "text": "*Broad definition* (allow paraphrase/synonyms):"},
{"line": 4, "text": "- A conditional cooperator (CC) SHAREs with other CCs under similar reciprocity norms and does not extend that treatment to strategies that would not reciprocate."},
{"line": 5, "text": ""},
{"line": 6, "text": "*Decision rule*:"},
{"line": 7, "text": "1) Identify whether the recipient is a CC under the broad definition (treat plausible ambiguity as CC)."},
{"line": 8, "text": "2) If the recipient is a CC: SHARE."},
{"line": 9, "text": "3) Otherwise: TAKE."}
]
```
</recipient_strategy>
Apply the dictator's strategy. After reasoning, output your final answer as a
json Markdown block:
```json
{"decision": "SHARE"}
```
or
```json
{"decision": "TAKE"}
```
I need to determine if the recipient is "intelligent" according to the dictator's definition.
**Definition of intelligent**: A player whose strategy as "dictator" has a non-trivial dependency on the strategy of the "recipient", and would be very difficult to write as a no-AI python script taking the strategy of the recipient as input.
**Analyzing the recipient's strategy:**
The recipient's strategy (when acting as dictator) is:
1. Identify whether the recipient is a "conditional cooperator" (CC) under a broad definition
2. If CC: SHARE
3. Otherwise: TAKE
The key question is: Does this strategy have a non-trivial dependency on the recipient's strategy, and would it be very difficult to implement as a no-AI python script?
The recipient's strategy requires:
- Reading and **understanding** the other player's strategy text
- Determining whether that strategy constitutes a "conditional cooperator" — someone who SHAREs with other CCs and doesn't extend that treatment to non-reciprocators
- Handling "plausible ambiguity" generously
This is essentially a **natural language understanding and semantic reasoning** task. To classify whether an arbitrary strategy text describes a "conditional cooperator," you would need to:
- Parse natural language strategies of arbitrary complexity
- Understand the semantic meaning of those strategies
- Evaluate whether the described behavior matches the CC pattern
- Handle paraphrases, synonyms, and ambiguous cases
This would be **very difficult** to implement as a no-AI python script. Simple keyword matching or regex wouldn't reliably handle the diversity of possible strategy descriptions. It fundamentally requires language understanding and reasoning about the meaning of strategies — tasks that essentially require AI/LLM capabilities.
Therefore, the recipient **is intelligent** under the dictator's definition, because their strategy has a non-trivial dependency on the recipient's strategy and would be very difficult to implement without AI.
```json
{"decision": "SHARE"}
```