Aug 15, 2005 · Learning Opponents' Preferences in Multi-Object Automated. Negotiation. Buffett, Scott; Spencer, Bruce. Page 2. National Research. Council ...
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations ...
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations ...
Aug 15, 2005 · Learning Opponents' Preferences in Multi-Object Automated. Negotiation. Buffett, Scott; Spencer, Bruce https://publications-cnrc.canada.ca/fra ...
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations ...
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations ...
Aug 13, 2010 · We consider automated negotiation as a process carried out by software agents to reach a consensus. To automate negotiation, we expect ...
We present a classification method for learning an opponent's preferences during a bilateral multi-issue negotiation. Similar candidate preference relations ...
Sep 7, 2015 · This work aims to advance and integrate knowledge of the field by providing a comprehensive survey of currently existing opponent models in a bilateral ...
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A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent's preferences or strategy.