CarsonScott/Knowledge-Discovery-Agents
A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems
This project helps systems or agents collectively discover new information and learn from each other. It takes individual agents with their own knowledge bases and communication abilities, and outputs a shared understanding or answers to complex questions through cooperation. An ideal user might be a researcher or engineer building adaptive, knowledge-sharing artificial intelligence systems, especially those focused on decentralized learning.
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Use this if you need multiple intelligent agents to collaborate, share information, and collectively solve knowledge discovery problems by requesting and providing data.
Not ideal if your system requires centralized control over information flow or if agents should not be able to adapt their communication and knowledge-seeking behaviors.
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Apr 25, 2017
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