Autonomous Agents
Fetch.ai Autonomous Economic Agents (AEA) are used for different purposes:
Autonomous Context Agents (ACA) use sensor-based information, such as geo-location data, to search and discover the information matching specific users’ contexts. The ACA takes care of all relevant information a user needs to use micromobility services in the best possible way.
Example: Sheryl wants to follow her friend’s recommendation of having a drink at a bar 3km away from her actual location. Together with the bar’s address and pin on a map she sees the nearest available scooter she can ue to join her friend’s party.
Autonomous Marketing Agents (AMA) are used by micromobility service providers to search for and find users ready to receive their personalised recommendations. As with the ACA, AMA gathers information of the specific user contexts, such as location, preferences, etc..
The more data Autonomous Agents have, the better they can do their work on behalf of their owners. On MOBIX, user-related data belongs to the user, not to the system. Therefore, a Self-Sovereign Identity architecture is in place to allow for a compute-to-data approach; i.e. Agents exchange data while preserving full privacy.
Agents Structure
