@inproceedings{propper_jam:_2011,
	title = {{JAM}: {Java}-based {Associative} {Memory}},
	copyright = {©2011 Springer Science+Business Media, LLC},
	abstract = {In dynamic environments, conversational dialog systems have to deal with ambiguous input, topic shifts and the users’ limited memory resources. Therefore, systems need to model cognitive processes of its users to predict “what is on the user’s mind”. In this paper, we introduce JAM, a cognitive model of associative memory designed for the application in dialog systems. JAM is able to estimate dynamic processes like association, concept drifts and forgetting of information. We describe the data structures and algorithms developed to support these operations and present evaluation results, including the outcome of a survey conducted to compare the results of JAM to human associations.},
	language = {en},
	urldate = {2014-08-05},
	booktitle = {Proceedings of the {Paralinguistic} {Information} and its {Integration} in {Spoken} {Dialogue} {Systems} {Workshop}},
	author = {Pröpper, Robert and Putze, Felix and Schultz, Tanja},
	month = jan,
	year = {2011},
	keywords = {Language Translation and Linguistics, Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction},
	url={https://www.csl.uni-bremen.de/cms/images/documents/publications/Putze_Memory2011.pdf},
	pages = {143--155}
}