BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5
7,"","bbh06","{Belykh}, I.; {Belykh}, V. & {Hasler}, M.","Synchronization in asymmetrically coupled networks with node balance","Chaos",16,,"","5102",2006,"","","","","","","","","","","","","","","","","","imported ","",""
7,"","bbh04b","{Belykh}, I. V.; {Belykh}, V. N. & {Hasler}, M.","Blinking model and synchronization in small-world networks with a time-varying coupling","Physica D",195,,"","188--206",2004,"","","","","","","","","","","","","","","","","","imported ","",""
7,"","bbh04a","{Belykh}, V. N.; {Belykh}, I. V. & {Hasler}, M.","Connection graph stability method for synchronized coupled chaotic systems","Physica D",195,,"","159-187",2004,"","","","","","","","","","","","","","","","","","imported ","",""
1,"","häsler1985","Häsler, {Alfred A.}","Das Abenteuer Migros : die 60 Jahre junge Idee","",,,"","",1985,"Verl. d. Migros-Presse","","http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+019834896&sourceid=fbw_bibsonomy","","","","","","","","Zürich","","","","360 S","","","Duttweiler Gottlieb Migros-Genossenschafts-Bund ","",""
6,"978-1-57735-365-2","conf/flairs/OuOMH08","Ou, Shiyan; Orasan, Constantin; Mekhaldi, Dalila & Hasler, Laura","Automatic Question Pattern Generation for Ontology-based Question Answering.","",,,"","183-188",2008,"","","http://dblp.uni-trier.de/db/conf/flairs/flairs2008.html#OuOMH08","FLAIRS Conference","","","","Wilson, David & Lane, H. Chad","AAAI Press","","","","","","","","","dblp ","",""
6,"3-540-63631-5","conf/icann/Paraschiv-IonescuJB97","Paraschiv-Ionescu, Anisoara; Jutten, Christian & Bouvier, Gérard","Neural Network Based Processing for Smart Sensors Arrays.","",1327,,"","565-570",1997,"","","http://dblp.uni-trier.de/db/conf/icann/icann1997.html#Paraschiv-IonescuJB97","ICANN","","","Lecture Notes in Computer Science","Gerstner, Wulfram; Germond, Alain; Hasler, Martin & Nicoud, Jean-Daniel","Springer","","","","","","","","","dblp ","",""
1,"9783825229542","HaslerRoumois.2007","Roumois, Ursula Hasler","Studienbuch Wissensmanagement: Grundlagen der Wissensarbeit in Wirtschafts-, Non-Profit- und Public-Organisationen","",2954,,"","",2007,"Zürich","","http://deposit.d-nb.de/cgi-bin/dokserv?id=2966643&prov=M&dok_var=1&dok_ext=htm / http://www.gbv.de/dms/bs/toc/532057309.pdf","","","","UTB Wirtschaftswissenschaften, Betriebswirtschaftslehre","","Orell Füssli","","","","","","","","","wissensmanagement ","",""
1,"978-3-8252-2954-2","HaslerRoumois07","Roumois, Ursula Hasler","Studienbuch Wissensmanagement: Grundlagen der Wissensarbeit in Wirtschafts-, Non-Profit- und Public-Organisationen","",2954,,"","",2007,"Zürich","","","","","","UTB","","Orell Füssli","","","","","","","Dieses Studienbuch behandelt alle Aspekte, wie eine Organisation ihre Ressourcen Information und Wissen gestalten und steuern kann. Es stellt ausgewählte Modelle vor, erläutert die wesentlichen Themen aus der Perspektive der Technologie, des Menschen und der Organisation und beleuchtet ihr Zusammenwirken in der konkreten Wissensarbeit mit dem Ziel, intelligente Organisationsstrukturen und Arbeitsbedingungen zu schaffen.","","book cognitive enterprise information knowledge management process science softskills v0805 ","",""
6,"","Salustowicz:97icann","Sa\l{}ustowicz, R. P.; Wiering, M. A. & Schmidhuber, J.","On Learning Soccer Strategies","",1327,,"","769--774",1997,"","","ftp://ftp.idsia.ch/pub/rafal/ICANN_soccer.ps.gz","Proceedings of the Seventh International Conference on Artificial Neural Networks (ICANN'97)","","","Lecture Notes in Computer Science","Gerstner, W.; Germond, A.; Hasler, M. & Nicoud, J.-D.","Springer-Verlag","","","","","","","We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All agents making up a team are rewarded or punished collectively in case of goals. We conduct simulations with varying team sizes, and compare two learning algorithms: TD-Q learning with linear neural networks (TD-Q) and Probabilistic Incremental Program Evolution (PIPE). TD-Q is based on evaluation functions (EFs) mapping input/action pairs to expected reward, while PIPE searches policy space directly. PIPE uses an adaptive probability distribution to synthesize programs that calculate action probabilities from current inputs. Our results show that TD-Q has difficulties to learn appropriate shared EFs. PIPE, however, does not depend on EFs and finds good policies faster and more reliably.","","PIPE ","",""
6,"3-540-63631-5","conf/icann/Vittoz97","Vittoz, Eric A.","Pseudo-Resistive Networks and their Applications to Analog Collective Computation.","",1327,,"","1133-1150",1997,"","","http://dblp.uni-trier.de/db/conf/icann/icann1997.html#Vittoz97","ICANN","","","Lecture Notes in Computer Science","Gerstner, Wulfram; Germond, Alain; Hasler, Martin & Nicoud, Jean-Daniel","Springer","","","","","","","","","dblp ","",""