QuickSearch:   Number of matching entries: 0.

Search Settings

    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Dobyns, J., Johnson-Shelton, N. & Rometsch, M. Falscher Engel: Mein Höllentrip als Undercover-Agent bei den Hells Angels

    [Abstract] [BibTeX]

    		 2011   book  
    Abstract: »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 …
    BibTeX: 
    @book{dobyns2011falscher,
  author = {Dobyns, Jay and Johnson-Shelton, Nils and Rometsch, Martin},
  title = {Falscher Engel: Mein Höllentrip als Undercover-Agent bei den Hells Angels},
  publisher = {Ullstein Taschenbuch},
  year = {2011}
}
    Montaner, M., López, B. & de la Rosa, J.L. A Taxonomy of Recommender Agents on the Internet

    [Abstract] [BibTeX]

    		 2003 Artificial Intelligence Review
    Vol. 19(4), pp. 285-330     		 article DOI URL 
    Abstract: 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.
    BibTeX: 
    @article{montaner2003taxonomy,
  author = {Montaner, Miquel and López, Beatriz and de la Rosa, Josep Lluís},
  title = {A Taxonomy of Recommender Agents on the Internet},
  journal = {Artificial Intelligence Review},
  publisher = {Kluwer Academic Publishers},
  year = {2003},
  volume = {19},
  number = {4},
  pages = {285--330},
  url = {http://dx.doi.org/10.1023/A%3A1022850703159},
  doi = {http://dx.doi.org/10.1023/A:1022850703159}
}
    Yu, B. & Singh, M.P. Searching social networks

    [Abstract] [BibTeX]

    		 2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems, pp. 65-72  inproceedings DOI URL 
    Abstract: 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.
    BibTeX: 
    @inproceedings{yu2003searching,
  author = {Yu, Bin and Singh, Munindar P.},
  title = {Searching social networks},
  booktitle = {Proceedings of the second international joint conference on Autonomous agents and multiagent systems},
  publisher = {ACM},
  year = {2003},
  pages = {65--72},
  url = {http://doi.acm.org/10.1145/860575.860587},
  doi = {http://dx.doi.org/10.1145/860575.860587}
}
    Parent, S., Mobasher, B. & Lytinen, S. An Adaptive Agent for Web Exploration Based of Concept Hierarchies

    [BibTeX]

    		 2001 Proceedings of the 9th International
    Conference on Human Computer Interaction     		 inproceedings URL 
    BibTeX: 
    @inproceedings{MobasheretalCHI2001,
  author = {Parent, S. and Mobasher, B. and Lytinen, S.},
  title = {An Adaptive Agent for Web Exploration Based of Concept Hierarchies},
  booktitle = {Proceedings of the 9th International

           Conference on Human Computer Interaction},
  year = {2001},
  url = {citeseer.nj.nec.com/443168.html}
}
    Steels, L. The Origins of Ontologies and Communication Conventions in Multi-Agent Systems

    [BibTeX]

    		 1998 Autonomous Agents and Multi-Agent Systems
    Vol. 1(2), pp. 169-194     		 article URL 
    BibTeX: 
    @article{steels98theOrigins,
  author = {Steels, L.},
  title = {The Origins of Ontologies and Communication Conventions in Multi-Agent Systems},
  journal = {Autonomous Agents and Multi-Agent Systems},
  year = {1998},
  volume = {1},
  number = {2},
  pages = {169-194},
  url = {http://www.isrl.uiuc.edu/~amag/langev/paper/steels98theOrigins.html}
}

    Created by JabRef on 28/04/2024.