id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_zig56z22kbf3dcvmxtbbhyznsa	R CARBONNEAU	Predicting opponent's moves in electronic negotiations using neural networks	2008	14	.pdf	application/pdf	6093	430	52	paper presents an approach to modeling the negotiation process in a time‐series fashion using environment and assist negotiators by providing predictive information, and possibly Keywords: Electronic Negotiations; Opponent Modeling; Counter‐Offer Prediction; Offer by intelligent agents equipped with adaptive capabilities to learn from past negotiations and In order to test the applicability of machine learning approaches in modeling negotiation counteroffers, including the most recent offer made by the negotiator, to predict the expected which involves offer optimization; discuss the model implementation and results; and provide An approach that combines recommendation generation and negotiation agents for product limited to a single issue (price) negotiation and only the offers made by an opponent are based model which learns patterns from the past offer exchanges and presents Our predictive network needs to be trained using past negotiation data to adequately capture 4. Negotiation support with predictive neural model Predictive negotiation neural network model 	./cache/work_zig56z22kbf3dcvmxtbbhyznsa.pdf	./txt/work_zig56z22kbf3dcvmxtbbhyznsa.txt