Esempio n. 1
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def index_dss():
    messages = [
        AI_SYSTEM_DESCRIPTION_BRIEF_PROPOSER,
        AI_SYSTEM_DESCRIPTION_EXTENDED_PROPOSER,
        AI_SYSTEM_DESCRIPTION_USAGE_PROPOSER
    ]
    return handle_index_dss(TREATMENT, messages=messages)
Esempio n. 2
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def index_dss():
    messages = [
        AI_SYSTEM_DESCRIPTION_BRIEF_STANDALONE_PROPOSER,
        AI_SYSTEM_UNINFORMED_RESPONDER_INFORMATION_PROPOSER,
        AI_SYSTEM_DESCRIPTION_USAGE_PROPOSER
    ]
    return handle_index_dss(TREATMENT, messages=messages)
Esempio n. 3
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def index_dss():
    messages = [
        """You have been assigned the role of a PROPOSER. As a PROPOSER, you will make an offer to the RESPONDER. Instead of purely relying on your own intuition, you can use an AI Recommendation System (Machine-Learning System) to help you with your offer. The system was trained using prior interactions of comparable bargaining situations.""",
        """To use the AI System, simply select a test offer and submit it to the system. The system will tell you its estimates on:
1. The probability that your offer will be accepted by your specific RESPONDER.
2. The probability that your offer is the minimal offer accepted by your specific RESPONDER.

You can use the system as often as you want."""
    ]
    return handle_index_dss(TREATMENT, messages=messages)
Esempio n. 4
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def index_dss():
    messages = [
        """You have been assigned the role of a PROPOSER. As a PROPOSER, you will make an offer to the RESPONDER. You have the option to use an AI Recommendation System (AI System) to help you decide which offer to make. The system was trained using prior interactions of comparable bargaining situations.""",
        """The system was trained using prior interactions of comparable bargaining situations.
- The system learned a fixed optimal offer (AI_OFFER).
- AI_OFFER was found by testing each possible offer on comparable bargaining situations and was selected as the one that provided the highest average gain to the PROPOSERs.
- Following the AI System's recommendations, PROPOSERs can gain 80% of the pie left by RESPONDERs.
- Following the AI System's recommendations, PROPOSERs can have 95% of their offers accepted.
- The probability of an offer being accepted is higher than 50% when the offer is greater than or equal to AI_OFFER.
- The probability of an offer being the RESPONDER's minimal offer is higher the closer the offer is to AI_OFFER.""",
        """To use the AI System, simply select a test offer and submit it to the system. The system will tell you its estimates on:
1. The probability that your offer will be accepted by your specific RESPONDER.
2. The probability that your offer is the minimal offer accepted by your specific RESPONDER.

You can use the system as often as you want."""
    ]
    return handle_index_dss(TREATMENT, messages=messages)