http://www.bibsonomy.org/burst/tag/lkl-kssBibSonomy RSS feed for /tag/lkl-kss2010-03-22T11:27:47+01:00http://www.bibsonomy.org/bibtex/236217697a45d9f676e5c8e165a601cdb/grahlgrahl2006-10-23T17:25:28+02:00AI agents ant cognition colony dynamics emergent information lkl-kss memory networks simulation social sociocognitive swarms tags <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2006</em>)Mon Oct 23 17:25:28 CEST 2006On Self-Regulated Swarms, Societal Memory, Speed and Dynamics2006AI agents ant cognition colony dynamics emergent information lkl-kss memory networks simulation social sociocognitive swarms tags http://www.bibsonomy.org/bibtex/28e7728a30a2adc90af034bead0ce0505/grahlgrahl2006-10-23T17:25:28+02:00AI ant cognition colony dynamics emergent information lkl-kss networks simulation social sociocognitive swarms tags <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2005</em>)Mon Oct 23 17:25:28 CEST 2006Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes2005AI ant cognition colony dynamics emergent information lkl-kss networks simulation social sociocognitive swarms tags http://www.bibsonomy.org/bibtex/25cef86e87ffa8a888ad160cee1d35d29/yishyish2006-10-12T16:25:24+02:00elearning blogs collaborative soso blogging lkl-kss <span style="color:#555555;">Michal <a href="http://www.bibsonomy.org/author/Jacovi">Jacovi</a> and Elad <a href="http://www.bibsonomy.org/author/Shahar">Shahar</a> and Vladimir <a href="http://www.bibsonomy.org/author/Soroka">Soroka</a> </span>(<em>2004</em>)Thu Oct 12 16:25:24 CEST 2006Blogs for Corporate LearningTechnical Report on Research Activities with Blogs for Learning2004elearning blogs collaborative soso blogging lkl-kss This report describes four case studies conducted through 2004 with corporate learning students who used blogs to share their learning experience. The rationale for the use of blogs is explained, followed by the case studies, and initial results and conclusions reached by examining the usage patterns as well as collecting data through questionnaires. The report concludes with a list of features and ideas for enhancing a blogging environment for learning. Although proving the benefits of blogs requires longer periods and larger groups of people, user responses indicate that the potential of blogs for learning is clear and deserves attention.http://www.bibsonomy.org/bibtex/2243810edf4cd80625df41b1ef0190bd6/yishyish2006-07-13T02:21:32+02:00socialsoftware lkl-kss sociocultural blog <span style="color:#555555;">Diane <a href="http://www.bibsonomy.org/author/Schiano">Schiano</a> and Bonnie <a href="http://www.bibsonomy.org/author/Nardi">Nardi</a> and Michelle <a href="http://www.bibsonomy.org/author/Gumbrecht">Gumbrecht</a> and Luke <a href="http://www.bibsonomy.org/author/Swartz">Swartz</a> </span><em>page 1143--1146. </em><em>ACM Press, </em>(<em>2004</em>)Thu Jul 13 02:21:32 CEST 2006\url{http://portal.acm.org/citation.cfm?id=986009}1143--1146{B}logging by the rest of us2004socialsoftware lkl-kss sociocultural blog http://www.bibsonomy.org/bibtex/2b35338ee23c36e3171f321585737133a/yishyish2006-07-13T02:19:17+02:00socialsoftware blogging lkl-kss sociocultural <span style="color:#555555;">Bonnie <a href="http://www.bibsonomy.org/author/Nardi">Nardi</a> and Diane <a href="http://www.bibsonomy.org/author/Schiano">Schiano</a> and Michelle <a href="http://www.bibsonomy.org/author/Gumbrecht">Gumbrecht</a> </span><em>page 222--231. </em><em>ACM Press, </em>(<em>2004</em>)Thu Jul 13 02:19:17 CEST 2006\url{http://dx.doi.org/10.1145/1031607.1031643}222--231{B}logging as social activity, or, would you let 900 million people read your diary?2004socialsoftware blogging lkl-kss sociocultural http://www.bibsonomy.org/bibtex/25ddae4ada5c981bddb2826d38d39ca6d/yishyish2006-06-14T15:06:26+02:00semwiki2006 wiki lkl-kss semantic <span style="color:#555555;">Sebastian <a href="http://www.bibsonomy.org/author/Schaffert">Schaffert</a> and Max <a href="http://www.bibsonomy.org/author/Völkel">V&#246;lkel</a> and Stefan <a href="http://www.bibsonomy.org/author/Decker">Decker</a> (eds.). </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em><em>June 2006. </em>Wed Jun 14 15:06:26 CEST 2006Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisLearning with Semantic Wikis2006semwiki2006 wiki lkl-kss semantic The knowledge society requires life-long learning and flexible learning environments that allow learners to learn whenever they have time, whereever they are, and according to their own needs and background knowledge. In this article, we investigate how Semantic Wikis – a combination of Wiki and Semantic Web technology – can support learners in such flexible learning environments. We first summarise common features of Wikis and Semantic Wikis and then describe different aspects of Semantic Wikis for learning. We also introduce our Semantic Wiki system called IkeWiki and show why it is particularly promising as a learning tool.http://www.bibsonomy.org/bibtex/28e7728a30a2adc90af034bead0ce0505/lkl_ksslkl_kss2006-06-06T03:07:44+02:00swarms sociocognitive lkl-kss ai simulation social emergent dynamics information colony intelligence ant tags cognition networks <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2005</em>)Tue Jun 06 03:07:44 CEST 2006Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes2005swarms sociocognitive lkl-kss ai simulation social emergent dynamics information colony intelligence ant tags cognition networks http://www.bibsonomy.org/bibtex/21531e4ac3df8bedfff033f3b0ef321f4/lkl_ksslkl_kss2006-06-06T03:07:27+02:00social swarms information dynamics colony ant lkl-kss simulation networks cognition <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Ajith <a href="http://www.bibsonomy.org/author/Abraham">Abraham</a> </span>(<em>2003</em>)Tue Jun 06 03:07:27 CEST 2006Swarms on Continuous Data2003social swarms information dynamics colony ant lkl-kss simulation networks cognition http://www.bibsonomy.org/bibtex/236217697a45d9f676e5c8e165a601cdb/lkl_ksslkl_kss2006-06-06T03:07:09+02:00memory swarms sociocognitive lkl-kss ai simulation social agents emergent dynamics information colony intelligence tags ant cognition networks <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2006</em>)Tue Jun 06 03:07:09 CEST 2006On Self-Regulated Swarms, Societal Memory, Speed and Dynamics2006memory swarms sociocognitive lkl-kss ai simulation social agents emergent dynamics information colony intelligence tags ant cognition networks http://www.bibsonomy.org/bibtex/24aa24201f90bd4cc05889e441d6b0542/lkl_ksslkl_kss2006-06-06T03:06:28+02:00social eni swarms information dynamics colony ant lkl-kss simulation networks cognition <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Ajith <a href="http://www.bibsonomy.org/author/Abraham">Abraham</a> </span>(<em>2003</em>)Tue Jun 06 03:06:28 CEST 2006Web Usage Mining Using Artificial Ant Colony Clustering And Genetic Programming2003social eni swarms information dynamics colony ant lkl-kss simulation networks cognition http://www.bibsonomy.org/bibtex/24aa24201f90bd4cc05889e441d6b0542/yishyish2006-06-06T03:04:34+02:00social eni swarms dynamics information colony ant lkl-kss simulation cognition networks <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Ajith <a href="http://www.bibsonomy.org/author/Abraham">Abraham</a> </span>(<em>2003</em>)Tue Jun 06 03:04:34 CEST 2006Web Usage Mining Using Artificial Ant Colony Clustering And Genetic Programming2003social eni swarms dynamics information colony ant lkl-kss simulation cognition networks The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on one hand and the customer's option to choose from several alternatives business community has realized the necessity of intelligent marketing strategies and relationship management. Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for...http://www.bibsonomy.org/bibtex/21531e4ac3df8bedfff033f3b0ef321f4/yishyish2006-06-06T03:04:34+02:00social swarms dynamics information colony ant lkl-kss simulation cognition networks <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Ajith <a href="http://www.bibsonomy.org/author/Abraham">Abraham</a> </span>(<em>2003</em>)Tue Jun 06 03:04:34 CEST 2006Swarms on Continuous Data2003social swarms dynamics information colony ant lkl-kss simulation cognition networks While being it extremely important, many Exploratory Data Analysis (EDA [21]) systems have the inhability to perform classification and visualization in a continuous basis or to self-organize new data-items into the older ones (evenmore into new labels if necessary), which can be crucial in KDD - Knowledge Discovery [10,1], Retrieval and Data Mining Systems [15,10] (interactive and online forms of Web Applications are just one example). This disadvantge is also present in more recent approaches ...http://www.bibsonomy.org/bibtex/28e7728a30a2adc90af034bead0ce0505/yishyish2006-06-06T03:04:34+02:00ai ant cognition colony complexity dynamics emergent eni information intelligence lkl-kss networks simulation social sociocognitive swarms tags <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2005</em>)Tue Jun 06 03:04:34 CEST 2006Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes2005ai ant cognition colony complexity dynamics emergent eni information intelligence lkl-kss networks simulation social sociocognitive swarms tags Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause coherent functional global patterns to emerge. SI provides a basis with wich it is possible to explore collective (or distributed) problem solving without centralized control or the provision of a global model. To tackle the formation of a coherent social collective intelligence from individual behaviors, we discuss several concepts related to Self-Organization, Stigmergy and Social Foraging in animals. Then, in a more abstract level we suggest and stress the role played not only by the environmental media as a driving force for societal learning, as well as by positive and negative feedbacks produced by the many interactions among agents. Finally, presenting a simple model based on the above features, we will adress the collective adaptation of a social community to a cultural (environmenatl, contextual) or media informational dynamical landscape, represented here - for the purpose of different experiments - by several three-dimensional mathematical functions that suddenly change over time. Results indicate that the collective intelligence is able to cope and quickly adapt to unforseen situations even when over the same cooperative foraging period, the community is requested to deal with two different and contradictory purposes.http://www.bibsonomy.org/bibtex/236217697a45d9f676e5c8e165a601cdb/yishyish2006-06-06T03:04:34+02:00memory eni swarms sociocognitive ai lkl-kss simulation agents social emergent information dynamics colony intelligence ant tags networks cognition <span style="color:#555555;">Vitorino <a href="http://www.bibsonomy.org/author/Ramos">Ramos</a> and Carlos <a href="http://www.bibsonomy.org/author/Fernandes">Fernandes</a> and Agostinho C. <a href="http://www.bibsonomy.org/author/Rosa">Rosa</a> </span>(<em>2006</em>)Tue Jun 06 03:04:34 CEST 2006On Self-Regulated Swarms, Societal Memory, Speed and Dynamics2006memory eni swarms sociocognitive ai lkl-kss simulation agents social emergent information dynamics colony intelligence ant tags networks cognition Wasps, bees, ants and termites all make effective use of their environment and resources by displaying collective "swarm" intelligence. Termite colonies - for instance - build nests with a complexity far beyond the comprehension of the individual termite, while ant colonies dynamically allocate labor to various vital tasks such as foraging or defense without any central decision-making ability. Recent research suggests that microbial life can be even richer: highly social, intricately networked, and teeming with interactions, as found in bacteria. What strikes from these observations is that both ant colonies and bacteria have similar natural mechanisms based on Stigmergy and Self-Organization in order to emerge coherent and sophisticated patterns of global foraging behavior. Keeping in mind the above characteristics we propose a Self-Regulated Swarm (SRS) algorithm which hybridizes the advantageous characteristics of Swarm Intelligence as the emergence of a societal environmental memory or cognitive map via collective pheromone laying in the landscape (properly balancing the exploration/exploitation nature of our dynamic search strategy), with a simple Evolutionary mechanism that trough a direct reproduction procedure linked to local environmental features is able to self-regulate the above exploratory swarm population, speeding it up globally. In order to test his adaptive response and robustness, we have recurred to different dynamic multimodal complex functions as well as to Dynamic Optimization Control problems, measuring reaction speeds and performance. Final comparisons were made with standard Genetic Algorithms (GAs), Bacterial Foraging strategies (BFOA), as well as with recent Co-Evolutionary approaches. SRS's were able to demonstrate quick adaptive responses, while outperforming the results obtained by the other approaches. Additionally, some successful behaviors were found: SRS was able to maintain a number of different solutions, while adapting to unforeseen situations even when over the same cooperative foraging period, the community is requested to deal with two different and contradictory purposes; the possibility to spontaneously create and maintain different subpopulations on different peaks, emerging different exploratory corridors with intelligent path planning capabilities; the ability to request for new agents (division of labor) over dramatic changing periods, and economizing those foraging resources over periods of intermediate stabilization. Finally, results illustrate that the present SRS collective swarm of bio-inspired ant-like agents is able to track about 65% of moving peaks traveling up to ten times faster than the velocity of a single individual composing that precise swarm tracking system. This emerged behavior is probably one of the most interesting ones achieved by the present work.http://www.bibsonomy.org/bibtex/23e0eb3ac3d69194363eae0b4e1b6461d/yishyish2006-05-18T13:05:58+02:00social folksonomy tagging enterprise lkl-kss bookmarking <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Millen">Millen</a> and Jonathan <a href="http://www.bibsonomy.org/author/Feinberg">Feinberg</a> and Bernard <a href="http://www.bibsonomy.org/author/Kerr">Kerr</a> </span><em>Queue</em><em>3(9):28--35</em><em>November 2005. </em>Thu May 18 13:05:58 CEST 2006New York, NY, USAQueueNovember928--35Social bookmarking in the enterprise32005social folksonomy tagging enterprise lkl-kss bookmarking http://www.bibsonomy.org/bibtex/2179f7e8c955e552da372a555de2cba48/lkl_ksslkl_kss2006-05-17T13:18:56+02:00learning wiki lkl-kss school <span style="color:#555555;">Futurelab Lyndsay <a href="http://www.bibsonomy.org/author/Grant">Grant</a> </span>(<em>2006</em>)Wed May 17 13:18:56 CEST 2006USING WIKIS IN SCHOOLS: A CASE STUDY2006learning wiki lkl-kss school Wikis have been heralded as one of a number of new and powerful forms of software capable of supporting a range of collaborative ventures and learning activities. This paper addresses the potential uses of wikis - online editable websites - as learning tools in schools. It places wikis in the context of current relevant literature about collaborative learning, summarising major theories of learning in communities and knowledge-building in networked groups. It also looks briefly at the trends in the wider area of 'social software', of which wikis are just one example. Using wikis in school is explored further through a short-term 'case study' in a UK secondary school. The literature and research background is used to analyse some of the emerging issues surrounding using wikis in the classroom highlighted through this case study. This paper looks both at the affordances of the technology itself and the wider context of the classroom, and offers some provisional conclusions about the potential of using wikis to support collaborative learning in schools.http://www.bibsonomy.org/bibtex/2a720dfbc4d79edd8f4cef7e1d75bf7b1/yishyish2006-05-11T14:58:34+02:00wired folksonomies tags socialsoftware lkl-kss <span style="color:#555555;">Daniel <a href="http://www.bibsonomy.org/author/Terdiman">Terdiman</a> </span><em>Wired</em>(<em>2005</em>)Thu May 11 14:58:34 CEST 2006WiredFolksonomies Tap People Power2005wired folksonomies tags socialsoftware lkl-kss http://www.bibsonomy.org/bibtex/287fa5218e7059c61485bec63a08effc7/yishyish2006-04-06T16:47:46+02:00wiki lkl-kss education <span style="color:#555555;">Brian <a href="http://www.bibsonomy.org/author/Lamb">Lamb</a> </span><em>EDUCAUSE Review</em>(<em>2004</em>)Thu Apr 06 16:47:46 CEST 2006EDUCAUSE Review36-–48Wide Open Spaces: Wikis, Ready or Not392004wiki lkl-kss education http://www.bibsonomy.org/bibtex/2dc0d4a5975ff28952d470193001157bd/lkl_ksslkl_kss2006-03-30T14:27:40+02:00folksonomy tags lkl-kss <span style="color:#555555;">George <a href="http://www.bibsonomy.org/author/Macgregor">Macgregor</a> and Emma <a href="http://www.bibsonomy.org/author/McCulloch">McCulloch</a> </span><em>Library Review</em>(<em>in press</em>)Thu Mar 30 14:27:40 CEST 2006Library Review5Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool55in pressfolksonomy tags lkl-kss http://www.bibsonomy.org/bibtex/2f560cee922deb9c164834dd43b610ee8/lkl_ksslkl_kss2006-03-30T14:26:50+02:00folksonomy tags lkl-kss <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/Mcfedries">Mcfedries</a> </span><em>Spectrum, IEEE</em><em>43(2):80--80</em>(<em>2006</em>)Thu Mar 30 14:26:50 CEST 2006Spectrum, IEEE280--80Technically Speaking: Folk Wisdom432006folksonomy tags lkl-kss