TY - BOOK AU - Dobyns, Jay AU - Johnson-Shelton, Nils AU - Rometsch, Martin A2 - T1 - Falscher Engel: Mein Höllentrip als Undercover-Agent bei den Hells Angels PB - Ullstein Taschenbuch C1 - PY - 2011/ VL - IS - SP - EP - UR - DO - KW - agent KW - angels KW - engel KW - falscher KW - hells KW - höllentrip KW - undercover L1 - SN - N1 - N1 - AB - »Falscher Engel« ist die faszinierende Geschichte eines außergewöhnlichen Mannes, der sich in die verbotene und lebensgefährliche Unterwelt der eingeschworenen Hells-Angels-Gemeinschaft einschleust. Zwei Jahre lang arbeitet Jay Dobins in dieser berühmt-berüchtigten südwestamerikanischen Rockergang als verdeckter Ermittler.

In dieser Zeit führt er das mörderisch spannende Leben eines muskulösen, tätowierten und bis an die Zähne bewaffneten Raubtiers auf einer dröhnenden Harley, inmitten eines Rudels gefallener Engel. Doch dieses Doppelleben führt Dobins an den Rand seiner eigenen Existenz und hinterlässt tiefe Spuren auf seiner Seele. Als Zeuge zahlreicher (Kapital-)Verbrechen, gefangen im Strudel der Ereignisse und beeinflusst von charismatischen Personen verliert er fast den Halt. Um ein Haar wäre er der Aura der Höllenengel und der Besessenheit des Bösen erlegen. Und hätte dabei seine Familie, seine Gesundheit und letztendlich sein Leben in der Hölle aus Lügen, Drogen und Gewalt zurückgelassen … ER - TY - JOUR AU - Montaner, Miquel AU - López, Beatriz AU - de la Rosa, Josep Lluís T1 - A Taxonomy of Recommender Agents on the Internet JO - Artificial Intelligence Review PY - 2003/ VL - 19 IS - 4 SP - 285 EP - 330 UR - http://dx.doi.org/10.1023/A%3A1022850703159 DO - 10.1023/A:1022850703159 KW - agent KW - recommender KW - survey L1 - SN - N1 - N1 - AB - Recently, Artificial Intelligence techniques have proved useful inhelping users to handle the large amount of information on the Internet.The idea of personalized search engines, intelligent software agents,and recommender systems has been widely accepted among users who requireassistance in searching, sorting, classifying, filtering and sharingthis vast quantity of information. In this paper, we present astate-of-the-art taxonomy of intelligent recommender agents on theInternet. We have analyzed 37 different systems and their references andhave sorted them into a list of 8 basic dimensions. These dimensions arethen used to establish a taxonomy under which the systems analyzed areclassified. Finally, we conclude this paper with a cross-dimensionalanalysis with the aim of providing a starting point for researchers toconstruct their own recommender system. ER - TY - CONF AU - Yu, Bin AU - Singh, Munindar P. A2 - T1 - Searching social networks T2 - Proceedings of the second international joint conference on Autonomous agents and multiagent systems PB - ACM C1 - New York, NY, USA PY - 2003/ CY - VL - IS - SP - 65 EP - 72 UR - http://doi.acm.org/10.1145/860575.860587 DO - 10.1145/860575.860587 KW - agent KW - collaborative KW - network KW - search KW - social KW - web L1 - SN - 1-58113-683-8 N1 - N1 - AB - A referral system is a multiagent system whose member agents are capable of giving and following referrals. The specific cases of interest arise where each agent has a user. The agents cooperate by giving and taking referrals so each can better help its user locate relevant information. This use of referrals mimics human interactions and can potentially lead to greater effectiveness and efficiency than in single-agent systems.Existing approaches consider what referrals may be given and treat the referring process simply as path search in a static graph. By contrast, the present approach understands referrals as arising in and influencing dynamic social networks, where the agents act autonomously based on local knowledge. This paper studies strategies using which agents may search dynamic social networks. It evaluates the proposed approach empirically for a community of AI scientists (partially derived from bibliographic data). Further, it presents a prototype system that assists users in finding other users in practical social networks. ER - TY - CONF AU - Parent, S. AU - Mobasher, B. AU - Lytinen, S. A2 - T1 - An Adaptive Agent for Web Exploration Based of Concept Hierarchies T2 - Proceedings of the 9th International

Conference on Human Computer Interaction PB - C1 - New Orleans, LA PY - 2001/ CY - VL - IS - SP - EP - UR - citeseer.nj.nec.com/443168.html DO - KW - exploration KW - web KW - agent KW - adaptive KW - concept KW - hierarchies KW - based L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Steels, L. T1 - The Origins of Ontologies and Communication Conventions in Multi-Agent Systems JO - Autonomous Agents and Multi-Agent Systems PY - 1998/october VL - 1 IS - 2 SP - 169 EP - 194 UR - http://www.isrl.uiuc.edu/~amag/langev/paper/steels98theOrigins.html DO - KW - agent KW - ontologies KW - sosbuch L1 - SN - N1 - kdd N1 - AB - ER -