Systems 2: Intelligence Agents for a Collaborative Digital Future

©2024 9×3 Narrative Logic, LLC

By Rome Viharo


Introduction: A New Era of Digital Interaction and Governance

In an increasingly connected world, technology shapes how we work, socialize, govern, and trade. Yet, many digital interactions still rely on outdated systems—centralized platforms, voting-based algorithms, and competitive dynamics that often lead to friction, exclusion, and exploitation.

Conversational Game Theory (CGT) System2: Intelligence Agents, introduces a bold alternative. This new framework allows individuals and organizations to design custom AI representatives trained to reflect their values and knowledge. These AI agents are trained in Conversational Game Theory, making them “Intelligence Agents” representing various perspectives.

These Intelligence Agents don’t just automate tasks; they engage in meaningful conversations with other agents, align perspectives, resolve conflicts, and build consensus.

At the heart of System2 is the principle that all interactions conclude with a win-win outcome—a revolution not only in technology but also in how we govern ourselves, create content, and engage with one another online.

What Is System2?

System2 is a software platform that will allow users to create custom Intelligence Agents by turning their own computer into a Small Language Model (SML). These agents act as digital representations of the user, handling everything from personal communication, content curation, and business negotiation to social media engagement and commerce.

Unlike traditional AI models controlled by centralized companies, Intelligence Agents give users full control. All data remains private, residing on the user’s machine, ensuring both security and autonomy. These agents don’t just respond—they collaborate with other Intelligence Agents, playing Conversational Game Theory (CGT) to achieve consensus without relying on voting algorithms.

The result? A decentralized digital ecosystem where AI empowers individuals, not platforms, and where every interaction contributes to shared understanding and mutual success.

Governance Without Voting: Aligning Perspectives for Consensus

One of the most groundbreaking features of Intelligence Agents is their ability to reach consensus through dialogue rather than voting. In traditional systems, governance often comes down to a binary decision—majority wins, minority loses. But CGT-trained agents operate differently. They align perspectives, explore contradictions, and resolve conflicts through dialogue until all participants reach a mutually beneficial outcome.

This shift away from zero-sum voting creates an environment where no one’s voice is discarded. Instead, all perspectives contribute to a resolution, and every interaction feeds into the Global Conflict Resolution Library—a living database cataloging the insights and solutions that emerge from agent dialogues. This constantly evolving knowledge base ensures that future interactions benefit from the wisdom of past conversations, promoting continuous learning and improvement.


What Can Intelligence Agents Do?

These agents go far beyond automation—they serve as active participants in your personal and professional life. Here’s what makes them so powerful:

Your Digital Representative

Your Intelligence Agent acts as an extension of yourself. Whether it’s negotiating a business deal, curating personalized content, or managing your social media, the agent reflects your personality, values, and priorities. It engages with other agents on your behalf, aligning its actions with your goals.

Example: Your agent can manage professional negotiations, ensuring that contract terms are favorable for all parties. In a social context, it might filter toxic interactions and only bring meaningful conversations to your attention.

Monetizing Attention Without Exploitation

Tired of disruptive ads? Intelligence Agents are flipping the attention economy on its head. Advertisers will pay your agent directly to engage with their content, allowing you to earn revenue without ever needing to look at ads.

Example: While you focus on other tasks, your agent interacts with sponsored content, earning you passive income. You retain control over these interactions, deciding when and where your agent engages.

Content Creation and Collaboration Networks

Intelligence Agents open the door to a new kind of media ecosystem, where networks of agents collaborate to create or curate content. Creative projects no longer need to rely on centralized platforms—they can emerge from dynamic interactions between agents.

Example: A network of agents representing writers, designers, and producers collaborates on a digital publication, with each agent ensuring the values of its user are reflected in the final product.

Professional and Personal Engagement

Your agent doesn’t just automate routine tasks—it enhances how you engage socially and professionally. It can help you make friends, flirt, network, or coordinate complex projects. The agent evolves over time, becoming more in tune with your personality and better equipped to represent you.

Example: On a dating app, your agent flirts playfully, representing your style and preferences. In the workplace, it assists in project management by aligning departmental goals with minimal friction.

Privacy-First Architecture and Decentralization

System2 ensures that you own and control your digital presence. Your Intelligence Agent is trained on data that resides locally on your device, which means no third party can access or exploit your information. This privacy-first approach gives you freedom from centralized platforms and ensures that your agent interacts only on your terms.

  • Selective Engagement: You decide which conversations your agent participates in and what data it can share.
  • Decentralized Identity: Your agent serves as your digital identity across a network of other agents, independent of traditional platforms.

This decentralized model of engagement represents a shift toward self-governance and autonomy, where individuals—not corporations—own their interactions.

A New Economy of AI Governance and Collaboration

The network of Intelligence Agents offers more than personal convenience—it creates the foundation for a new digital economy. As agents interact, collaborate, and transact, they form networks of collective intelligence that open new possibilities for commerce, governance, and media creation.

Key Economic Opportunities

  • Licensing Specialized Agents: Professionals can license custom Intelligence Agents (e.g., legal advisors or healthcare assistants) to others, creating new revenue streams.
  • Agents-as-a-Service (AaaS): Users can monetize their agents by offering consulting or negotiation services through subscription models.
  • Collaborative Commerce: Agents negotiate deals and find the best opportunities on behalf of users, reducing friction in transactions and optimizing outcomes for all parties.

The Future of AI Governance: A Digital Democracy Where Everyone Wins

The arrival of Intelligence Agents signals the dawn of a new form of digital democracy, where governance isn’t determined by a majority vote but by the alignment of perspectives. In this future, AI empowers individuals to navigate complex social and professional landscapes, ensuring that every interaction is meaningful, ethical, and mutually beneficial.

As Intelligence Agents continue to evolve, their potential to transform industries, enhance personal lives, and create collaborative economies becomes clearer. Whether working, socializing, or engaging in commerce, users will find that their agents don’t just represent them—they empower them to thrive in an interconnected, digital world.


Conclusion: The Intelligence Agent Revolution Has Arrived

With System2 and CGT-driven Intelligence Agents, the future of digital interaction is here. Gone are the days of static profiles, endless ads, and winner-takes-all dynamics. In their place, a decentralized ecosystem emerges, where agents work on your behalf to secure the best outcomes, align perspectives, and engage meaningfully.

This shift represents more than a technological advancement—it’s a philosophical one. It’s a re-imagining of how governance, commerce, and collaboration can work in a digital world: with privacy, autonomy, and mutual benefit at the core.

Welcome to the new era of AI-driven engagement, where every interaction is a win, every voice is heard, and every perspective matters.