> For the complete documentation index, see [llms.txt](https://coasys.gitbook.io/coasys-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://coasys.gitbook.io/coasys-litepaper/context.md).

# Context

### **The Problem**

In today's interconnected world, the ability to make sense of complex issues is crucial to navigate an increasingly volatile landscape, and the need for accurate information and effective sense-making has never been more critical. Unfortunately, the current information landscape is not conducive to this, with numerous factors contributing to the breakdown of sense-making:

* Information Overload
* Proliferation of Misinformation and Disinformation
* Echo Chambers and Filter Bubbles
* Erosion of Trust in Traditional Information Sources

There have been attempts to address the breakdown of sense-making through centralized technology solutions. However, these systems not only perpetuate the issues related to trust and reliability but also create new vulnerabilities and limitations through:

* Centralisation of Power and Control
* Censorship and Surveillance
* Susceptibility to Misinformation and Disinformation
* Monetization and Manipulation of User Data
* Scalability and Security Concerns

### **Why an agent-centric network can be a solution**

Agent-centric networks offer a promising alternative to centralized technology solutions. By empowering individuals to take control of their data and interactions, these decentralized systems create a more transparent, reliable, and resilient foundation for collective sense-making. Some key reasons why agent-centric networks can serve as a solution include:

1. Cryptographic Signatures and Data Provenance
2. No Implied Objectivity
3. Decentralized Authority and Control
4. Enhanced Privacy and Security
5. Censorship and Surveillance Resistant
6. Human-centered Design
7. Support for Diverse Perspectives and Synthesis