What is synthetic superintelligence alliance

The synthetic superintelligence alliance is a decentralized AI Consortium, which was founded by Fetch.ai, Singularnet and Ocean Protocol. Subsequently, Cudos was included as a network member. Research of ASI (Synthetic Basic Understanding) is the largest independent and open-source organization in the field of infrastructure. Its purpose is to cross Slender AI and create a technology and product system that leads to AGI.

A major objective of ASI is the construction of the Autonomous Economic Agent (AEA) framework, which makes agents from the combination of AI and Blockchain Era to work freely in digital economy. It enables framework agents to take decisions, communicate and make financial transactions without any human oversite. If you are interested in knowing other news related to synthetic undertanding, then our website Synthetic undersrstanding information You can study in the section.

In this article, we will discuss the technical features of AEA Framework, To Tlanomics, Real World Use and future plans.

Self Sustaining Financial Agent (AEA) Framework Introduction

Self Sustaining Financial Agent (AEA) Framework is an innovative system that makes software agents to work independently in digital economy. The purpose of this framework is to make agents to take decisions, communicate and make financial transactions without human oversite. It is a combination of synthetic undersrstanding and blockchain, which provides autonomy to trade digital agents, resource management and communicating.

Sovereignty and Determination Making

Autonomous agents have the ability to take decisions, which allow them to automatically carry out business deals, supply chain management and other digital functions without any human interfensions. These agents can easily do communications and transactions, giving a new perspective in the digital economy.

Technical features of AEA Framework

AEA Framework is designed as a modular system, in which different components together form smart digital agents. The system has an actor-based design, in which different parts can send and receive messages independently from each other. Its function is something like people in an office interfer in each other’s work process through email.

Four main components of framework:

Abilites: These handle the main theats and decision process of the agent.

Protocols: These messages are rules for exchanging.

Connections: They handle networking related tasks.

Agreements: They work with smart contracts, which Blockchain era There are special programs that run.

Abilities function:

Abilities are the brain of the agent, which provides logic to take the decision and perform task. Each talent has three main parts:

Handlers: Those who give response to incoming messages.

Behaviors: Those who implement action.

Fashions: Those who store information and help in taking decisions.

DecisionMaker: Agent’s Financial Advisor

DecisionMaker is an important component of Aea Framework, which is the only access to the agent’s digital wallet. This helps in taking an economy decision and plays an important role in keeping the agent’s resources secure. Decisionmaker is the only component that takes the decision to use agent’s resources properly, ensuring economic stability.

Tounomics: Digital Asset and Transaction Security

Each agent has its own digital wallet in AEA Framework, which has Personal Keys. These Personal Key helps the agent to securely transact and do its identity authentication. The wallet can only be accessed by the DecisionMaker Component, ensuring the security and transparency of the economic decision.

The design of the framework is designed to work with a variety of blockchain networks, such as Ethereum and COSMOS. In addition, it can be customized through a plugin mechanism for various blockchain programs.

Use of AEA Framework in Real World

AEA Framework has already demonstrated its potential in many real world applications. Some of these major use cases include:

• Trading Competition: AEA Framework has been used in trading competitions, where agents trading autonomous digital assets. These agents take trading decisions without human interface, which provides that the future of autonomous trading is very effective.

• Supply Chain Management: AEA Framework has also been used in supply chain management, where agents communicate with Goods Tracking, Inventory Management and Suppliers by communicating with the Internet of Things (IOT) tools.

• Data Trading: Agents have also been used to purchase and sell real world data in public competitions, which has led to proof that agents can also do autonomous work in data markets.

Future Plan: Aea Framework Development

Several major plans have been prepared for the development of AEA Framework:

• Upgrading of DecisionMaker: In future decisionmaker will be made even more powerful so that it can take more complex decisions.

• Lightweight version: A lightweight version of AEA Framework is being prepared, which will be developed in Golang, such as fast programming language, so that it can perform better on Resource Limited Tools.

• Community-Driven Development: Framework is fully open-source and its development has an active contribution of community.

Conclusion