http://www.bibsonomy.org/burst/user/wnpxrz/agentBibSonomy BuRST Feed for /user/wnpxrz/agent2008-07-26T21:53:41+02:00Just-in-time information retrieval agentshttp://www.bibsonomy.org/bibtex/2e6b063285a51f88aa566d08a0a693416/wnpxrzwnpxrz2007-11-25T20:18:34+01:00agent imported proj:et ir <span style="color:#555555;">B. J. <a href="http://www.bibsonomy.org/author/Rhodes">Rhodes</a> and P. <a href="http://www.bibsonomy.org/author/Maes">Maes</a> </span><em>IBM Syst. J.</em><em>39(3-4):685--704</em>(<em>2000</em>)Sun Nov 25 20:18:34 CET 2007Riverton, NJ, USAIBM Syst. J.3-4685--704Just-in-time information retrieval agents392000agent imported proj:et ir 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.http://www.bibsonomy.org/bibtex/289fc419ce5cdce7fc7cc791226f494d6/wnpxrzwnpxrz2007-11-19T15:47:19+01:00nlp agent <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Allan">Allan</a> and H. <a href="http://www.bibsonomy.org/author/Raghavan">Raghavan</a> </span><em>Proceedings of the 25th annual international ACM SIGIR Conference on Research and Development in Information Retrieval, </em><em>page307--314. </em><em>ACM Press New York, NY, USA, </em>(<em>2002</em>)Mon Nov 19 15:47:19 CET 2007Proceedings of the 25th annual international ACM SIGIR Conference on Research and Development in Information Retrieval307--314{Using part-of-speech patterns to reduce query ambiguity}2002nlp agent SpringerLink - Book Chapterhttp://www.bibsonomy.org/bibtex/2a37106bddc93ce2a60bd8eb94922359c/wnpxrzwnpxrz2007-11-06T16:57:07+01:00web agent modeling document imported <span style="color:#555555;">Alessandro <a href="http://www.bibsonomy.org/author/Micarelli">Micarelli</a> and Filippo <a href="http://www.bibsonomy.org/author/Sciarrone">Sciarrone</a> and Mauro <a href="http://www.bibsonomy.org/author/Marinilli">Marinilli</a> </span><em>The Adaptive Web</em>(<em>2007</em>)Tue Nov 06 16:57:07 CET 2007The Adaptive Web155--192Web Document Modeling2007web agent modeling document imported 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.SpringerLink - Book Chapterhttp://www.bibsonomy.org/bibtex/2c88ce2a582ae9c2039bf55d4311047a8/wnpxrzwnpxrz2007-11-06T16:56:39+01:00crawling imported adaptive agent web <span style="color:#555555;">Alessandro <a href="http://www.bibsonomy.org/author/Micarelli">Micarelli</a> and Fabio <a href="http://www.bibsonomy.org/author/Gasparetti">Gasparetti</a> </span><em>The Adaptive Web</em>(<em>2007</em>)Tue Nov 06 16:56:39 CET 2007The Adaptive Web231--262Adaptive Focused Crawling2007crawling imported adaptive agent web 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.Autonomous interface agentshttp://www.bibsonomy.org/bibtex/2ffb54ab18d0265303707319e46ca6fe2/wnpxrzwnpxrz2007-11-04T20:38:14+01:00proj:ib agent imported <span style="color:#555555;">Henry <a href="http://www.bibsonomy.org/author/Lieberman">Lieberman</a> </span><em>CHI '97: Proceedings of the SIGCHI conference on Human factors in computing systems, </em><em>page67--74. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>1997</em>)Sun Nov 04 20:38:14 CET 2007New York, NY, USACHI '97: Proceedings of the SIGCHI conference on Human factors in computing systems67--74Autonomous interface agents1997proj:ib agent imported Representing roles and purposehttp://www.bibsonomy.org/bibtex/2a1ae2696cf3c4523349043499a86ffdb/wnpxrzwnpxrz2007-10-24T21:38:51+02:00agent role purpose ontology imported <span style="color:#555555;">James <a href="http://www.bibsonomy.org/author/Fan">Fan</a> and Ken <a href="http://www.bibsonomy.org/author/Barker">Barker</a> and Bruce <a href="http://www.bibsonomy.org/author/Porter">Porter</a> and Peter <a href="http://www.bibsonomy.org/author/Clark">Clark</a> </span><em>K-CAP '01: Proceedings of the 1st international conference on Knowledge capture, </em><em>page38--43. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2001</em>)Wed Oct 24 21:38:51 CEST 2007New York, NY, USAK-CAP '01: Proceedings of the 1st international conference on Knowledge capture38--43Representing roles and purpose2001agent role purpose ontology imported 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.Combining Collaborative Filtering with Personal Agents for Better Recommendations - Good, Schafer, Konstan, Borchers, Sarwar, Herlocker, Riedl (ResearchIndex)http://www.bibsonomy.org/bibtex/2b92814aa0b942be645ec0955b360e4ce/wnpxrzwnpxrz2007-10-24T21:30:12+02:00recommendersystems collaborative imported filtering agent personal <span style="color:#555555;">Nathaniel <a href="http://www.bibsonomy.org/author/Good">Good</a> and J. <a href="http://www.bibsonomy.org/author/Ben Schafer">Ben Schafer</a> and Joseph A. <a href="http://www.bibsonomy.org/author/Konstan">Konstan</a> and Al <a href="http://www.bibsonomy.org/author/Borchers">Borchers</a> and Badrul M. <a href="http://www.bibsonomy.org/author/Sarwar">Sarwar</a> and Jonathan L. <a href="http://www.bibsonomy.org/author/Herlocker">Herlocker</a> and John <a href="http://www.bibsonomy.org/author/Riedl">Riedl</a> </span><em>AAAI/IAAI, </em><em>page439-446. </em>(<em>1999</em>)Wed Oct 24 21:30:12 CEST 2007{AAAI}/{IAAI}439-446Combining Collaborative Filtering with Personal Agents for Better Recommendations1999recommendersystems collaborative imported filtering agent personal CiteULike: Building Agents that Plan and Argue in a Social Contexthttp://www.bibsonomy.org/bibtex/22a1c0e9ce8a715ab89607ee2b66ad6ad/wnpxrzwnpxrz2007-10-24T19:08:31+02:00argumentation agent social <span style="color:#555555;">D. <a href="http://www.bibsonomy.org/author/Kalofonos">Kalofonos</a> and N. <a href="http://www.bibsonomy.org/author/Karunatillake">Karunatillake</a> and N. R. <a href="http://www.bibsonomy.org/author/Jennings">Jennings</a> and T. J. <a href="http://www.bibsonomy.org/author/Norman">Norman</a> and C. <a href="http://www.bibsonomy.org/author/Reed">Reed</a> and S. <a href="http://www.bibsonomy.org/author/Wells">Wells</a> </span><em>Proceedings of the 1st International Conference on Computational Models of Argument (COMMA 2006), </em><em>IOS Press, </em>(<em>2006</em>)Wed Oct 24 19:08:31 CEST 2007Proceedings of the 1st International Conference on Computational Models of Argument (COMMA 2006)Building Agents that Plan and Argue in a Social Context2006argumentation agent social CiteULike: How to change a person's mind: Understanding the difference between the effects and consequences of speech actshttp://www.bibsonomy.org/bibtex/207d101c0971f63258a08b85cc374d785/wnpxrzwnpxrz2007-10-24T19:07:14+02:00planning speech agent <span style="color:#555555;">Debora <a href="http://www.bibsonomy.org/author/Field">Field</a> and Allan <a href="http://www.bibsonomy.org/author/Ramsay">Ramsay</a> </span><em>Proceedings 5th Workshop on Inference in Computational Semantics (ICoS-5), </em><em>page27--36. </em><em>April2006. </em>Wed Oct 24 19:07:14 CEST 2007Proceedings 5th Workshop on Inference in Computational Semantics (ICoS-5)April27--36How to change a person's mind: Understanding the difference between the effects and consequences of speech acts2006planning speech agent 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.CiteULike: Cogito ergo Ago: foundations for a computational model of behaviour changehttp://www.bibsonomy.org/bibtex/2088d93507aa1bcc5cdb662778aa97576/wnpxrzwnpxrz2007-10-24T19:03:42+02:00agent cognition modeling behavior <span style="color:#555555;">Cosimo <a href="http://www.bibsonomy.org/author/Nobile">Nobile</a> and Floriana <a href="http://www.bibsonomy.org/author/Grasso">Grasso</a> </span><em>&quot;Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action&quot;, Symposium of the 2005 Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB'05), </em><em>April2005. </em>Wed Oct 24 19:03:42 CEST 2007"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)AprilCogito ergo Ago: foundations for a computational model of behaviour change2005agent cognition modeling behavior 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.A decentralized CF approach based on cooperative agentshttp://www.bibsonomy.org/bibtex/2ea10d2cedfab7265f7383f08676cc434/wnpxrzwnpxrz2007-10-19T20:28:16+02:00filtering agent collaborative imported <span style="color:#555555;">Byeong Man <a href="http://www.bibsonomy.org/author/Kim">Kim</a> and Qing <a href="http://www.bibsonomy.org/author/Li">Li</a> and Adele E. <a href="http://www.bibsonomy.org/author/Howe">Howe</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>page973--974. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2006</em>)Fri Oct 19 20:28:16 CEST 2007New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web973--974A decentralized CF approach based on cooperative agents2006filtering agent collaborative imported 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.ScienceDirect - Information & Management : Agent-based buddy-finding methodology for knowledge sharinghttp://www.bibsonomy.org/bibtex/2b1a4e437c1977bc035522eab5c9a61e7/wnpxrzwnpxrz2007-09-30T18:00:18+02:00sharing agent knowledge <span style="color:#555555;">Xiaoqing <a href="http://www.bibsonomy.org/author/Li">Li</a> and Ali R. <a href="http://www.bibsonomy.org/author/Montazemi">Montazemi</a> and Yufei <a href="http://www.bibsonomy.org/author/Yuan">Yuan</a> </span><em>Information &amp; Management</em><em>43(3):283--296</em><em>#apr#2006. </em>Sun Sep 30 18:00:18 CEST 2007Information & Management#apr#3283--296Agent-based buddy-finding methodology for knowledge sharing432006sharing agent knowledge 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.Welcome to IEEE Xplore 2.0: A semantic taxonomy-based personalizable meta-search agenthttp://www.bibsonomy.org/bibtex/266ceee47da0146ccfd274a40df2b721f/wnpxrzwnpxrz2007-09-09T18:02:05+02:00semantic agent personalization imported <span style="color:#555555;">L. <a href="http://www.bibsonomy.org/author/Kerschberg">Kerschberg</a> and Wooju <a href="http://www.bibsonomy.org/author/Kim">Kim</a> and A. <a href="http://www.bibsonomy.org/author/Scime">Scime</a> </span><em>Web Information Systems Engineering, 2001. Proceedings of the Second International Conference on, </em><em>1, </em><em>page41- 50 vol.1. </em>(<em>2001</em>)Sun Sep 09 18:02:05 CEST 2007Web Information Systems Engineering, 2001. Proceedings of the Second International Conference on41- 50 vol.1A semantic taxonomy-based personalizable meta-search agent12001semantic agent personalization imported 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.Combining collaborative filtering with personal agents for better recommendationshttp://www.bibsonomy.org/bibtex/2caac1518ed781d6741cba6271581c172/wnpxrzwnpxrz2007-08-29T19:31:22+02:00imported agent personal filtering collaborative recommendersystems recommendation <span style="color:#555555;">Nathaniel <a href="http://www.bibsonomy.org/author/Good">Good</a> and J. <a href="http://www.bibsonomy.org/author/Ben Schafer">Ben Schafer</a> and Joseph A. <a href="http://www.bibsonomy.org/author/Konstan">Konstan</a> and Al <a href="http://www.bibsonomy.org/author/Borchers">Borchers</a> and Badrul <a href="http://www.bibsonomy.org/author/Sarwar">Sarwar</a> and Jon <a href="http://www.bibsonomy.org/author/Herlocker">Herlocker</a> and John <a href="http://www.bibsonomy.org/author/Riedl">Riedl</a> </span><em>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, </em><em>page439--446. </em><em>Menlo Park, CA, USA, </em><em>American Association for Artificial Intelligence, </em>(<em>1999</em>)Wed Aug 29 19:31:22 CEST 2007Menlo Park, CA, USAAAAI '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 intelligence439--446Combining collaborative filtering with personal agents for better recommendations1999imported agent personal filtering collaborative recommendersystems recommendation http://www.bibsonomy.org/bibtex/20459da0feb2076816eebf979dbd9f0ad/wnpxrzwnpxrz2007-08-05T19:18:42+02:00proj:mh software agent <span style="color:#555555;">N.R. <a href="http://www.bibsonomy.org/author/Jennings">Jennings</a> </span><em>Artificial Intelligence</em><em>117(2):277--296</em>(<em>2000</em>)Sun Aug 05 19:18:42 CEST 2007Artificial Intelligence2277--296{On agent-based software engineering}1172000proj:mh software agent http://www.bibsonomy.org/bibtex/296e35918d3ebd9c28e155e1da2ac968f/wnpxrzwnpxrz2007-08-05T19:17:39+02:00knowledge km agent proj:mh <span style="color:#555555;">L. <a href="http://www.bibsonomy.org/author/van Elst">van Elst</a> and V. <a href="http://www.bibsonomy.org/author/Dignum">Dignum</a> and A. <a href="http://www.bibsonomy.org/author/Abecker">Abecker</a> </span><em>page1--30. </em><em>Springer Berlin / Heidelberg, </em>(<em>2003</em>)Sun Aug 05 19:17:39 CEST 2007Agent-Mediated Knowledge Management1--30Towards Agent-Mediated Knowledge Management2003knowledge km agent proj:mh http://www.bibsonomy.org/bibtex/28ab3aca759f4670608cf04918cb39edd/wnpxrzwnpxrz2007-08-05T19:17:22+02:00proj:mh agent knowledge <span style="color:#555555;">V. <a href="http://www.bibsonomy.org/author/Dignum">Dignum</a> and F. <a href="http://www.bibsonomy.org/author/Dignum">Dignum</a> and J.J. <a href="http://www.bibsonomy.org/author/Meyer">Meyer</a> </span><em>The Knowledge Engineering Review</em><em>19(02):147--174</em>(<em>2005</em>)Sun Aug 05 19:17:22 CEST 2007The Knowledge Engineering Review02147--174{An agent-mediated approach to the support of knowledge sharing in organizations}192005proj:mh agent knowledge Welcome to IEEE Xplore 2.0: Where Are All the Intelligent Agents?http://www.bibsonomy.org/bibtex/2aacbf622aa154ddca8d14bb1b491ba75/wnpxrzwnpxrz2007-07-23T20:31:05+02:00agent proj:mh imported <span style="color:#555555;">James <a href="http://www.bibsonomy.org/author/Hendler">Hendler</a> </span>(<em>2007</em>)Mon Jul 23 20:31:05 CEST 2007Intelligent Systems2-3Where Are All the Intelligent Agents?222007agent proj:mh imported There has been much research and talk about intelligent agents, but few real-world implementations.DBLP Record 'conf/iat/KlaisubunI06'http://www.bibsonomy.org/bibtex/27e53d3204519e4141949165a77dd465f/wnpxrzwnpxrz2007-06-29T23:16:20+02:00agent tagging imported collaborative proj:mh <span style="color:#555555;">Piyanuch <a href="http://www.bibsonomy.org/author/Klaisubun">Klaisubun</a> and Takashi <a href="http://www.bibsonomy.org/author/Ishikawa">Ishikawa</a> </span><em>IAT Workshops, </em><em>page153-160. </em>(<em>2006</em>)Fri Jun 29 23:16:20 CEST 2007IAT WorkshopsDBLP:conf/iat/2006w153-160An Agent-Based Model of Research Collaboration in Collaborative Tagging for Scientific Publications.2006agent tagging imported collaborative proj:mh