@article{1011437, title = {Just-in-time information retrieval agents}, address = {Riverton, NJ, USA}, author = {B. J. Rhodes and P. Maes}, journal = {IBM Syst. J.}, number = {3-4}, pages = {685--704}, publisher = {IBM Corp.}, volume = 39, year = 2000, url = {http://portal.acm.org/citation.cfm?id=1011416.1011437}, issn = {0018-8670}, description = {Just-in-time information retrieval agents}, abstract = {A just-in-time information retrieval agent (JITIR agent) is software that proactively retrieves and presents information based on a person's local context in an easily accessible yet nonintrusive manner. This paper describes three implemented JITIR agents: the Remembrance Agent, Margin Notes, and Jimminy. Theory and design lessons learned from these implementations are presented, drawing from behavioral psychology, information retrieval, and interface design. They are followed by evaluations and experimental results. The key lesson is that users of JITIR agents are not merely more efficient at retrieving information, but actually retrieve and use more information than they would with traditional search engines.}, biburl = {http://www.bibsonomy.org/bibtex/2e6b063285a51f88aa566d08a0a693416/wnpxrz}, keywords = {imported agent ir proj:et} } @inproceedings{allan2002, title = {{Using part-of-speech patterns to reduce query ambiguity}}, author = {J. Allan and H. Raghavan}, booktitle = {Proceedings of the 25th annual international ACM SIGIR Conference on Research and Development in Information Retrieval}, pages = {307--314}, publisher = {ACM Press New York, NY, USA}, year = 2002, biburl = {http://www.bibsonomy.org/bibtex/289fc419ce5cdce7fc7cc791226f494d6/wnpxrz}, keywords = {agent nlp} } @article{keyhere, title = {Web Document Modeling}, author = {Alessandro Micarelli and Filippo Sciarrone and Mauro Marinilli}, journal = {The Adaptive Web}, pages = {155--192}, year = 2007, url = {http://dx.doi.org/10.1007/978-3-540-72079-9_5}, description = {SpringerLink - Book Chapter}, abstract = {A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a number of purposes. Application areas such as Information Search, Focused Crawling and Content Adaptation (among manyothers) benefit from several techniques and approaches to model documents effectively. For example, a document usually needspreliminary processing in order to obtain the relevant information in an effective and useful format, so as to be automaticallyprocessed by the system. The objective of this chapter is to support other chapters, providing a basic overview of the mostcommon and useful techniques and approaches related with document modeling. This chapter describes high-level techniques tomodel Web documents, such as the Vector Space Model and a number of AI approaches, such as Semantic Networks, Neural Networksand Bayesian Networks. This chapter is not meant to act as a substitute of more comprehensive discussions about the topicspresented. Rather, it provides a brief and informal introduction to the main concepts of document modeling, also focusingon the systems that are presented in the rest of the book as concrete examples of the related concepts.}, biburl = {http://www.bibsonomy.org/bibtex/2a37106bddc93ce2a60bd8eb94922359c/wnpxrz}, keywords = {imported document web modeling agent} } @article{keyhere, title = {Adaptive Focused Crawling}, author = {Alessandro Micarelli and Fabio Gasparetti}, journal = {The Adaptive Web}, pages = {231--262}, year = 2007, url = {http://dx.doi.org/10.1007/978-3-540-72079-9_7}, description = {SpringerLink - Book Chapter}, abstract = {The large amount of available information on the Web makes it hard for users to locate resources about particular topics of interest. Traditional search tools, e.g., search engines, do not always successfully cope with this problem, that is, helpingusers to seek the right information. In the personalized search domain, focused crawlers are receiving increasing attention,as a well-founded alternative to search the Web. Unlike a standard crawler, which traverses the Web downloading all the documentsit comes across, a focused crawler is developed to retrieve documents related to a given topic of interest, reducing the networkand computational resources. This chapter presents an overview of the focused crawling domain and, in particular, of the approachesthat include a sort of adaptivity. That feature makes it possible to change the system behavior according to the particularenvironment and its relationships with the given input parameters during the search.}, biburl = {http://www.bibsonomy.org/bibtex/2c88ce2a582ae9c2039bf55d4311047a8/wnpxrz}, keywords = {imported adaptive crawling web agent} } @inproceedings{258592, title = {Autonomous interface agents}, address = {New York, NY, USA}, author = {Henry Lieberman}, booktitle = {CHI '97: Proceedings of the SIGCHI conference on Human factors in computing systems}, pages = {67--74}, publisher = {ACM}, year = 1997, url = {http://portal.acm.org/citation.cfm?id=258592&dl=GUIDE,}, location = {Atlanta, Georgia, United States}, isbn = {0-89791-802-9}, doi = {http://doi.acm.org/10.1145/258549.258592}, description = {Autonomous interface agents}, biburl = {http://www.bibsonomy.org/bibtex/2ffb54ab18d0265303707319e46ca6fe2/wnpxrz}, keywords = {imported agent proj:ib} } @inproceedings{500747, title = {Representing roles and purpose}, address = {New York, NY, USA}, author = {James Fan and Ken Barker and Bruce Porter and Peter Clark}, booktitle = {K-CAP '01: Proceedings of the 1st international conference on Knowledge capture}, pages = {38--43}, publisher = {ACM Press}, year = 2001, url = {http://portal.acm.org/citation.cfm?id=500737.500747}, location = {Victoria, British Columbia, Canada}, isbn = {1-58113-380-4}, doi = {http://doi.acm.org/10.1145/500737.500747}, description = {Representing roles and purpose}, abstract = {Ontology designers often distinguish Entities (things that are) from Events (things that happen). It is not obvious how this division admits Roles (things that are, but only in the context of things that happen). For example, Person might be considered an Entity, while Employee is a Role. A Person remains a Person independent of the Events in which he participates. Someone is an Employee only by virtue of participating in an Employment Event. The problem of how to represent Roles is not new, but there is little consensus on a solution. In this paper, we present an ontology that finds a place for Roles as well as a representation that allows Roles to be related to Entities and Events to express the teleological notion of purpose.}, biburl = {http://www.bibsonomy.org/bibtex/2a1ae2696cf3c4523349043499a86ffdb/wnpxrz}, keywords = {role purpose imported agent ontology} } @inproceedings{good99combining, title = {Combining Collaborative Filtering with Personal Agents for Better Recommendations}, author = {Nathaniel Good and J. Ben Schafer and Joseph A. Konstan and Al Borchers and Badrul M. Sarwar and Jonathan L. Herlocker and John Riedl}, booktitle = {{AAAI}/{IAAI}}, pages = {439-446}, year = 1999, url = {citeseer.ist.psu.edu/good99combining.html}, description = {Combining Collaborative Filtering with Personal Agents for Better Recommendations - Good, Schafer, Konstan, Borchers, Sarwar, Herlocker, Riedl (ResearchIndex)}, biburl = {http://www.bibsonomy.org/bibtex/2b92814aa0b942be645ec0955b360e4ce/wnpxrz}, keywords = {recommendersystems collaborative imported personal agent filtering} } @inproceedings{kalofonos06building, title = {Building Agents that Plan and Argue in a Social Context}, author = {D. Kalofonos and N. Karunatillake and N. R. Jennings and T. J. Norman and C. Reed and S. Wells}, booktitle = {Proceedings of the 1st International Conference on Computational Models of Argument (COMMA 2006)}, publisher = {IOS Press}, year = 2006, id = {873962}, priority = {0}, description = {CiteULike: Building Agents that Plan and Argue in a Social Context}, biburl = {http://www.bibsonomy.org/bibtex/22a1c0e9ce8a715ab89607ee2b66ad6ad/wnpxrz}, keywords = {argumentation social agent} } @inproceedings{field06change, title = {How to change a person's mind: Understanding the difference between the effects and consequences of speech acts}, author = {Debora Field and Allan Ramsay}, booktitle = {Proceedings 5th Workshop on Inference in Computational Semantics (ICoS-5)}, month = {April}, pages = {27--36}, year = 2006, url = {http://www.csc.liv.ac.uk/~debora/icos5_field_ramsay.pdf}, id = {876296}, priority = {3}, description = {CiteULike: How to change a person's mind: Understanding the difference between the effects and consequences of speech acts}, abstract = {This paper discusses a planner of the semantics of utterances, whose essential design is an epistemic theorem prover. The planner was designed for the purpose of planning communicative actions, whose effects are famously unknowable and unobservable by the doer/speaker, and depend on the beliefs of and inferences made by the recipient/hearer. The fully implemented model can achieve goals that do not match action effects, but that are rather entailed by them, which it does by reasoning about how to act: state-space planning is interwoven with theorem proving in such a way that a theorem prover uses the effects of actions as hypotheses. The planner is able to model problematic conversational situations, including felicitous and infelicitous instances of bluffing, lying, sarcasm, and stating the obvious.}, biburl = {http://www.bibsonomy.org/bibtex/207d101c0971f63258a08b85cc374d785/wnpxrz}, keywords = {agent speech planning} } @inproceedings{nobile05cogito, title = {Cogito ergo Ago: foundations for a computational model of behaviour change}, author = {Cosimo Nobile and Floriana Grasso}, booktitle = {"Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action", Symposium of the 2005 Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB'05)}, editor = {L. Canamero}, month = {April}, year = 2005, url = {http://www.csc.liv.ac.uk/~floriana/PIPS/papers/CogitoErgoAgo.pdf}, id = {876299}, priority = {4}, description = {CiteULike: Cogito ergo Ago: foundations for a computational model of behaviour change}, abstract = {So far AI researches in the health care promotion have considered strategies and techniques for making people aware of their health related problems and helping them to change their behaviour in order to have a better life style and be healthier. Very few researches though, to our knowledge, have focused on the deeper meanings behind a behaviour change. We argue that taking into account cognitive aspects, supported by solid psychological and philosophical theories, might help us to provide the right advice, to the right person, at the right time.}, biburl = {http://www.bibsonomy.org/bibtex/2088d93507aa1bcc5cdb662778aa97576/wnpxrz}, keywords = {agent modeling cognition behavior} } @inproceedings{1135971, title = {A decentralized CF approach based on cooperative agents}, address = {New York, NY, USA}, author = {Byeong Man Kim and Qing Li and Adele E. Howe}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, pages = {973--974}, publisher = {ACM Press}, year = 2006, url = {http://portal.acm.org/citation.cfm?id=1135971}, location = {Edinburgh, Scotland}, isbn = {1-59593-323-9}, doi = {http://doi.acm.org/10.1145/1135777.1135971}, description = {A decentralized CF approach based on cooperative agents}, abstract = {In this paper, we propose a decentralized collaborative filtering (CF) approach based on P2P overlay network for the autonomous agents' environment. Experiments show that our approach is more scalable than traditional centralized CF filtering systems and alleviates the sparsity problem in distributed CF.}, biburl = {http://www.bibsonomy.org/bibtex/2ea10d2cedfab7265f7383f08676cc434/wnpxrz}, keywords = {collaborative imported filtering agent} } @article{keyhere, title = {Agent-based buddy-finding methodology for knowledge sharing}, author = {Xiaoqing Li and Ali R. Montazemi and Yufei Yuan}, journal = {Information & Management}, month = {#apr#}, number = 3, pages = {283--296}, volume = 43, year = 2006, url = {http://www.sciencedirect.com/science/article/B6VD0-4H80SYN-1/2/300b8fd0c4c7813e3a53505203a9c2f0}, description = {ScienceDirect - Information & Management : Agent-based buddy-finding methodology for knowledge sharing}, abstract = {The Internet provides an opportunity for knowledge sharing among people with similar interests (i.e., buddies). Emails, mailing lists, chat rooms, electronic bulletin boards, newsgroups are ways for identifying buddies. However, manual ways of finding a buddy are time consuming and not generally effective. Collaborative filtering technologies can provide useful information to users based on others' interests, and software agent technology is a promising tool for finding buddies. Software agents are autonomous and can represent users' preferences and perform tasks with built-in learning and reasoning capabilities. They can also communicate with one another to exchange information. Here, we define an agent-based buddy-finding methodology. Agents are created to represent users and exchange sample information with possible buddies while assessing the information exchanged. Thus, we present a methodology for developing an agent that identifies a set of buddy-agents using a built-in fuzzy reasoning mechanism to assess the buddy membership of peer agents. Using this, the agents cultivate a dynamic acquaintance list of their peer agents. The methodology was empirically tested in a context involving sharing musical-knowledge. We show that the buddies found by agents are as good as those found manually.}, biburl = {http://www.bibsonomy.org/bibtex/2b1a4e437c1977bc035522eab5c9a61e7/wnpxrz}, keywords = {agent sharing knowledge} } @inproceedings{Kerschberg:2001, title = {A semantic taxonomy-based personalizable meta-search agent}, author = {L. Kerschberg and Wooju Kim and A. Scime}, booktitle = {Web Information Systems Engineering, 2001. Proceedings of the Second International Conference on}, pages = {41- 50 vol.1}, volume = 1, year = 2001, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=996465}, isbn = {0-7695-1393-X}, description = {Welcome to IEEE Xplore 2.0: A semantic taxonomy-based personalizable meta-search agent}, abstract = {We address the problem of specifying Web searches and retrieving, filtering and rating Web pages so as to improve the relevance and quality of hits, based on the user's search intent and preferences. We present a methodology and architecture for an agent-based system, called WebSifter II, that captures the semantics of a user's decision-oriented search intent, transforms the semantic query into target queries for existing search engines, and then ranks the resulting page hits according to a user-specified weighted-rating scheme. Users create personalized search taxonomies via our weighted semantic-taxonomy tree. Consulting a Web taxonomy agent such as Wordnet helps refine the terms in the tree. The concepts represented in the tree are then transformed into a collection of queries processed by existing search engines. Each returned page is rated according to user-specified preferences such as semantic relevance, syntactic relevance, categorical match, page popularity and authority/hub rating.}, biburl = {http://www.bibsonomy.org/bibtex/266ceee47da0146ccfd274a40df2b721f/wnpxrz}, keywords = {semantic imported agent personalization} } @inproceedings{315352, title = {Combining collaborative filtering with personal agents for better recommendations}, address = {Menlo Park, CA, USA}, author = {Nathaniel Good and J. Ben Schafer and Joseph A. Konstan and Al Borchers and Badrul Sarwar and Jon Herlocker and John Riedl}, booktitle = {AAAI '99/IAAI '99: Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence}, pages = {439--446}, publisher = {American Association for Artificial Intelligence}, year = 1999, url = {http://portal.acm.org/citation.cfm?id=315352}, location = {Orlando, Florida, United States}, isbn = {0-262-51106-1}, description = {Combining collaborative filtering with personal agents for better recommendations}, biburl = {http://www.bibsonomy.org/bibtex/2caac1518ed781d6741cba6271581c172/wnpxrz}, keywords = {filtering recommendation personal agent recommendersystems imported collaborative} } @article{jennings2000, title = {{On agent-based software engineering}}, author = {N.R. Jennings}, journal = {Artificial Intelligence}, number = 2, pages = {277--296}, volume = 117, year = 2000, biburl = {http://www.bibsonomy.org/bibtex/20459da0feb2076816eebf979dbd9f0ad/wnpxrz}, keywords = {agent proj:mh software} } @inbook{elst2003, title = {Towards Agent-Mediated Knowledge Management}, author = {L. van Elst and V. Dignum and A. Abecker}, booktitle = {Agent-Mediated Knowledge Management}, pages = {1--30}, publisher = {Springer Berlin / Heidelberg}, year = 2003, url = {http://www.springerlink.com/content/7w83u24a12wv5fc0}, biburl = {http://www.bibsonomy.org/bibtex/296e35918d3ebd9c28e155e1da2ac968f/wnpxrz}, keywords = {knowledge km agent proj:mh} } @article{dignum2005, title = {{An agent-mediated approach to the support of knowledge sharing in organizations}}, author = {V. Dignum and F. Dignum and J.J. Meyer}, journal = {The Knowledge Engineering Review}, number = 02, pages = {147--174}, publisher = {Cambridge Univ Press}, volume = 19, year = 2005, biburl = {http://www.bibsonomy.org/bibtex/28ab3aca759f4670608cf04918cb39edd/wnpxrz}, keywords = {agent proj:mh knowledge} } @article{Hendler:2007, title = {Where Are All the Intelligent Agents?}, author = {James Hendler}, booktitle = {Intelligent Systems}, pages = {2-3}, volume = 22, year = 2007, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4216971}, issn = {1541-1672}, doi = {10.1109/MIS.2007.62}, description = {Welcome to IEEE Xplore 2.0: Where Are All the Intelligent Agents?}, abstract = {There has been much research and talk about intelligent agents, but few real-world implementations.}, biburl = {http://www.bibsonomy.org/bibtex/2aacbf622aa154ddca8d14bb1b491ba75/wnpxrz}, keywords = {agent imported proj:mh} } @inproceedings{DBLP:conf/iat/KlaisubunI06, title = {An Agent-Based Model of Research Collaboration in Collaborative Tagging for Scientific Publications.}, author = {Piyanuch Klaisubun and Takashi Ishikawa}, booktitle = {IAT Workshops}, crossref = {DBLP:conf/iat/2006w}, pages = {153-160}, year = 2006, ee = {http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.33}, bibsource = {DBLP, http://dblp.uni-trier.de}, description = {DBLP Record 'conf/iat/KlaisubunI06'}, biburl = {http://www.bibsonomy.org/bibtex/27e53d3204519e4141949165a77dd465f/wnpxrz}, keywords = {collaborative agent proj:mh imported tagging} }