raviq/Genon
Genon is a generator of nonlinear preferences for intelligent artificial agents.
This tool helps researchers and academics in artificial intelligence create realistic, complex preference profiles for intelligent artificial agents. You provide details about the negotiation 'issues' and how agents' preferences for them are structured, and it generates XML files and visualizations representing these detailed utility spaces for one or two agents. It's used by AI researchers developing or testing negotiation and coordination strategies for intelligent agents.
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Use this if you need to generate diverse and complex nonlinear utility spaces to simulate agent preferences for research in multi-agent systems, especially for scenarios like automated negotiation.
Not ideal if you are looking for a tool to define real-world human preferences or to build decision-making systems for practical business applications outside of academic AI research.
Stars
9
Forks
—
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 25, 2021
Commits (30d)
0
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