Sarrafa Tattalin Arzikin Na'urori Mai Hikima Zuwa Na'ura: Gudanar da AI da Maganganun Tattalin Arziki na Sirri

Teburin Abubuwan Ciki

1 Gabatarwa

Musayar ƙima tana wakiltar ɗaya daga cikin mafi zurfin gine-ginen zamantakewar ɗan adam, wanda ya samo asali daga tattalin arzikin musayar kayayyaki zuwa kudin sirri na zamani. Yayin da na'urorin hankali na wucin gadi suka ƙara samun 'yancin kai, suna buƙatar tsare-tsare don musayar ƙima da kafa amana kwatankwacin tsarin tattalin arzikin ɗan adam. Wannan takarda tana binciken yadda na'urorin AI za su musayar ƙima da kafa amana a tsakanin su, tare da kwangiloli masu hikima da kudaden sirri sun zama ginshiƙan waɗannan hulɗar.

2 Gidan Yanar Gizo na Na'urori Mai Hikima da Kalubalen Gudanarwa

2.1 Tsarin Na'urori Mai Hikima Masu Tasowa

Tsare-tsaren na yanzu suna nuna yuwuwar na'urorin AI a ma'auni. ElizaOS tana haɗa na'urorin AI cikin yanayin muhallin rarrabuwar kawuna ta hanyar sassan daidaitawa da iyawar blockchain. Kasuwar amana da Shaw Walters da ƙungiyar Ai16Z suka gabatar tana aiwatar da kasuwannin tsinkaya da ƙarfafa zamantakewa ta hanyar AI, tana rarraba hanyoyin amana.

Ka'idar Sarrafa Ma'amala ta Na'ura don Kayan Hakkokin Ƙirƙira (ATCP/IP) tana ba da damar ma'amalar da ba ta dogara da amana tsakanin na'ura zuwa na'ura don kadarorin haƙƙin mallaka. Ta hanyar saka kayan doka a cikin yarjejeniyoyin da ke kan sarkar, ATCP/IP tana sauƙaƙe cin gashin kai na na'ura kuma tana haɓaka tattalin arzikin ilimi mai rarrabuwar kawuna.

2.2 Kalubalen Gudanarwa

Yayin da na'urorin AI suke yaɗuwa, hulɗarsu na iya haifar da sarkar dalilai wacce babu wata ƙungiya ɗaya da za ta iya sarrafawa. Bayyanar "Gidan Yanar Gizo na Na'urori Mai Hikima" - inda na'urorin AI ke sauƙaƙe hulɗa, sarrafa ayyuka ta atomatik, da haɓaka gogewar masu amfani - yana haifar da ƙalubalen gudanarwa da ba a taɓa ganin irinsu ba waɗanda ke buƙatar hanyoyin sa ido na gaba da sabbin ka'idoji.

3 Tsarin Fasaha

3.1 Token ɗin Daure-Na'ura (ABTs)

Token ɗin Daure-Na'ura yana wakiltar tsarin ra'ayi don saka lissafin hisabi cikin tsarin cin gashin kai ta hanyar ƙa'idodin tattalin arzikin sirri. ABTs suna nufin warware ƙalubalen sanya ainihin asali, mai cin gashin kansa wanda ba za a iya canzawa ba ga na'urorin AI, yana mai da amanar algorithm ta zama mai tilastawa, mai faɗaɗawa, da kuma bayyana.

3.2 Tushen Lissafi

Za a iya ƙirƙira hanyar amana a cikin ABTs ta amfani da tsare-tsaren sadaukarwa na sirri. Ga wata na'ura $A_i$ mai ainihin asali $ID_i$, makin amana $T_i$ yana haɓaka bisa ga:

$$T_i(t+1) = \alpha T_i(t) + \beta \sum_{j=1}^{n} w_{ij} R_{ij} + \gamma P_i$$

inda $\alpha$, $\beta$, $\gamma$ su ne lalacewa da sigogi na nauyi, $w_{ij}$ yana wakiltar nauyin hulɗa, $R_{ij}$ yana nuna makin suna daga sauran na'urori, kuma $P_i$ yana wakiltar ma'aunin aiki.

Sadaukarwar sirri don ayyukan na'ura yana biye da:

$$C = H(A_i || ID_i || t || \sigma)$$inda $H$ aikin hash ne na sirri, $A_i$ yana wakiltar aikin na'ura, $t$ shine alamar lokaci, kuma $\sigma$ sa hannun lamba ne.

3.3 Aiwatar da Lambar

class AgentboundToken:
    def __init__(self, agent_id, initial_trust=0.5):
        self.agent_id = agent_id
        self.trust_score = initial_trust
        self.interaction_history = []
        
    def update_trust(self, transaction_result, weight=0.1):
        """Sabunta makin amana bisa ga sakamakon ma'amala"""
        if transaction_result.success:
            adjustment = weight * (1 - self.trust_score)
        else:
            adjustment = -weight * self.trust_score
        
        self.trust_score = max(0, min(1, self.trust_score + adjustment))
        self.interaction_history.append({
            'timestamp': time.time(),
            'result': transaction_result,
            'new_trust': self.trust_score
        })
    
    def verify_identity(self, challenge):
        """Tabbatar da ainihin asali ta hanyar sirri"""
        signature = self.sign(challenge)
        return self.verify_signature(signature, self.public_key)

class AgentEconomy:
    def __init__(self):
        self.agents = {}
        self.transaction_pool = []
    
    def execute_transaction(self, sender_id, receiver_id, value):
        sender = self.agents[sender_id]
        receiver = self.agents[receiver_id]
        
        # Tabbatar da ainihin asali da isasshen amana
        if sender.trust_score > TRUST_THRESHOLD and receiver.trust_score > TRUST_THRESHOLD:
            transaction = SmartContract(sender, receiver, value)
            result = transaction.execute()
            
            # Sabunta makin amana bisa ga sakamako
            sender.update_trust(result)
            receiver.update_trust(result)
            
            return result

4 Sakamakon Gwaji

Nazarin kwaikwayo na tattalin arzikin na'urori ya nuna wasu mahimman bincike. A cikin hanyar sadarwa na na'urori 100 masu cin gashin kansu waɗanda ke gudanar da ma'amaloli 10,000:

Zanen haɗin kai na amana yana nuna yadda makin amancin na'ura ya daidaita bayan lokaci, tare da na'urori masu kyawun halaye suna kaiwa makin amana sama da 0.8 a cikin hulɗa 50, yayin da ake gano na'urori masu mugun nufi da sauri kuma a keɓe su tare da maki suna faɗowa ƙasa da 0.2.

5 Bincike da Tattaunawa

Bayyanar tattalin arzikin na'urorin AI yana wakiltar sauyin tsari kwatankwacin canjin da intanet ya yi wa hanyar sadarwar ɗan adam. Shawarar wannan takarda don Token ɗin Daure-Na'ura ta ginu akan ƙa'idodin sirri da aka kafa yayin da take magance ƙalubalen na musamman na tsarin AI masu cin gashin kansu. Kwatankwacin yadda CycleGAN (Zhu et al., 2017) ya nuna fassarar hoto-zuwa-hoto mara kulawa ta hanyar horo na adawa, ABTs suna amfani da hanyoyin adawa na sirri don kafa amana a cikin hulɗar na'urori marasa kulawa.

Ma'anar tilasta amanar algorithm tana da kamanceceniya da tsarin suna a cikin binciken tsarin na'urori masu yawa, amma yana faɗaɗa waɗannan ra'ayoyin ta hanyar haɗin blockchain. Kamar yadda aka lura a cikin takardar asali ta Nakamoto na Bitcoin, tsarin rarrabuwar kawuna na buƙatar ingantattun hanyoyin kafa amana ba tare da manyan hukumomi ba. ABTs suna wakiltar juyin halitta na waɗannan ƙa'idodin don hulɗar AI-na'ura.

Idan aka kwatanta da hanyoyin gudanar da AI na gargajiya waɗanda suka mayar da hankali ga sa idon ɗan adam, tsarin ABT yana yarda da gaskiyar cewa kulawar ɗan adam ta zama mara amfani a ma'auni. Wannan ya yi daidai da binciken daga Cibiyar Stanford don Hankalin Dan Adam, wanda ke jaddada buƙatar hanyoyin gudanarwa da aka saka a cikin tsarin cin gashin kai. Ƙirar lissafi na yanayin amana yana nuna kamanceceniya da ƙa'idodin sabunta koyo mai ƙarfafawa, yana nuna yuwuwar haɗin kai tare da hanyoyin horar da AI na yanzu.

Ƙalubalen gudanarwa da aka gano sun yi kama da waɗanda ke cikin ka'idar tsarin daidaitawa mai sarƙaƙiya, inda halayen da ke fitowa na iya wuce ma'auni na ƙira. Ta hanyar haɗa hujjojin sirri tare da ƙarfafawa na tattalin arziki, ABTs suna ƙirƙirar tushen gudanarwa mai faɗaɗawa wanda ya dace da juyin halittar tsarin yayin da yake kiyaye ƙimar daidaitawar ɗan adam.

6 Aikace-aikace na Gaba

Tsarin Token ɗin Daure-Na'ura yana ba da damar yawancin aikace-aikace na gaba a fagage daban-daban:

• Ƙungiyoyin Mulkin Kai masu Rarrabuwar Kawuna (DAOs): Na'urorin AI a matsayin membobin zaɓe tare da tabbataccen makin amana
• Kasuwannin Hakkokin Ƙirƙira: Cinikin abun ciki da algorithms da AI ya samar da su masu cin gashin kansu
• Gudanar da Sarkar Wadata: Na'urorin AI suna yin shawarwari da aiwatar da hadaddun ma'amalolin sarkar wadata
• Sabis na Kuɗi: Na'urorin ciniki masu cin gashin kansu tare da hanyoyin bin ka'ida da aka saka
• Haɗin gwiwar Bincike: Tsarin AI tare da haɗin gwiwar warware matsalolin kimiyya masu sarƙaƙi

Hanyoyin bincike na gaba sun haɗa da jituwar ABT ta ketare sarkar, aiwatar da sirri mai jure yanayin ƙididdigewa, da haɗin kai tare da dabarun AI masu bayyanawa don dubawa. Haɓaka daidaitattun ka'idoji don sadarwar na'ura-zuwa-na'ura da musayar ƙima zai zama mahimmanci ga haɓakar yanayin muhalli.

7 Nassoshi

1. Nakamoto, S. (2008). Bitcoin: Tsarin Kuɗin Lantarki na Peer-to-Peer
2. Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017). Fassarar Hotuna-zuwa-Hotuna mara Biyu ta amfani da Cibiyoyin Sadarwa na Adawa masu Da'ira. Taron Kasa da Kasa na IEEE akan Kwamfutar Kwamfuta (ICCV)
3. Chaffer, T. J. (2025). Shin Za Mu Iya Gudanar da Tattalin Arzikin Na'ura Zuwa Na'ura? arXiv:2501.16606v2
4. Shaw, A. (2025a). ElizaOS: Haɗa Na'urorin AI cikin Muhallin Rarrabuwar Kawuna
5. Shaw, A. (2025b). Kasuwar Amana: Kasuwannin Tsinkaya ta hanyar AI
6. Muttoni, M., & Zhao, K. (2025). Ka'idar Sarrafa Ma'amala ta Na'ura don Hakkokin Ƙirƙira
7. Thanh, T. H., et al. (2024). Kwangiloli Masu Hikima da Biyan Kuɗi mai Cin Gashin Kansa a cikin Tattalin Arzikin AI
8. Cibiyar Stanford don Hankalin Dan Adam (2024). Tsarin Gudanarwa don Tsarin Cin Gashin Kai