From tkelley at arl.army.mil Wed Jan 3 15:46:08 2007 From: tkelley at arl.army.mil (Kelley, Troy (Civ,ARL/HRED)) Date: Wed, 3 Jan 2007 15:46:08 -0500 Subject: [ACT-R-users] BRIMS Extension Deadline (UNCLASSIFIED) Message-ID: <2D30123DFDFF1046B3A9CF64B6D9AC9005C838@ARLABML03.DS.ARL.ARMY.MIL> Classification: UNCLASSIFIED Caveats: NONE Deadline for Submissions has been Extended to Friday, January 12th, 2007 CALL FOR PAPERS - BRIMS 2007 16th CONFERENCE ON BEHAVIOR REPRESENTATION IN MODELING AND SIMULATION (BRIMS) http://www.sisostds.org/ Select BRIMS from the Conference List Co-located with Simulation Interoperability Workshop And in affiliation with the Simulation Interoperability Standards Organization and the Institute for Simulation and Training Marriott Waterside Hotel Norfolk, VA 26-29 March 2007 Deadline for Submissions is Friday, January 12th, 2007 You are invited to participate in the 16th Conference on Behavior Representation in Modeling and Simulation (BRIMS). This year it is being co-located with the Spring Simulation Interoperability Workshop (SIW), which will provide an outstanding opportunity for scientific and technical exchange on research and application in human behavior representation with the larger modeling and simulation community. BRIMS enables modeling and simulation research scientists, engineers, application users, and technical communities to meet, share ideas and experiences, identify gaps in current capabilities, discuss new research directions, highlight promising technologies, and showcase applications. The BRIMS Executive Committee invites papers, posters, demos, symposia, panel discussions, and tutorials on topics related to the representation of individuals, groups, teams and organizations in models and simulations. All submissions are peer-reviewed and considered for selection by the Committee. TYPES OF SUBMISSIONS Traditional Sessions: Paper Presentations Traditional Sessions are composed of 3 or 4 presentations on related topics. The presentations are done lecture-style, with 20-25 minutes for the presentation and approximately 5 minutes for questions. Presentations are displayed through electronic slides (e.g., PowerPoint). Paper submissions are full papers but are limited to 8 pages and should describe original research that has not been published elsewhere. Accepted papers are published in the Proceedings. Papers not accepted as full papers will be considered for poster presentations. Interactive Session: Posters and Demos The Interactive Session involves a longer (approximately 2 hour) period of multiple simultaneous presentations and provides an opportunity for continuous interaction with conference attendees. The Interactive Session features supporting material in static wallboard/posterboard displays and/or live demonstrations of state-of-the-art applications in modeling, simulation, and training. Poster and demo submissions are limited to a 2-page extended abstract describing the research to be presented or the technology or application to be demonstrated. Accepted abstracts are published in the Proceedings. The Interactive Session will be held the opening evening, March 27, 2007. Symposia/Panel Discussions These are 60-90 minutes long, with several speakers presenting research and/or engaging in discussion on different aspects of a common topic that is of interest to the BRIMS community. These are not merely collections of presentations. There should be a set of common questions/issues addressed by all participants. Abstracts for symposia or panel discussions may be submitted through the on-line submission system. The 2-page abstract should provide a title for the session, identify the chair, list the participants' names and affiliations, provide a justification for why the session topic is timely and of interest, include a brief statement (approximately 250 words) from each participant summarizing the main points they will make during the session, and identify the common questions/issues each participant will address. Abstracts for selected symposia/panel discussions will be published in the Proceedings. Tutorials Tutorials provide conference participants the opportunity to gain new insights, knowledge, and skills in an area related to the interests of the BRIMS community. Tutorials are presented in a lecture-and-discussion or learning-by-doing format. Tutorials may be a half-day (3 hours, plus breaks) or a full-day (6 hours, plus breaks) in duration, and will take place on Monday, March 26, 2007. Tutorial proposals may be submitted through the on-line submission system. Tutorial descriptions should include a detailed outline of the material that will be covered with time allocations and scheduled breaks. Descriptions for accepted tutorials will be included in conference announcements and in the Proceedings. Submission Process and Format Submissions are handled on-line at the BRIMS website, http://www.sisostds.org/ and select BRIMS from the Conference List. Please see the guidelines on the BRIMS website for format requirements and content suggestions. If you have any questions about the submission process or are unable to submit to the web site, please contact Pat Burgess by email (pburgess at ist.ucf.edu) or phone (407) 882-1372. KEY DATES All Submissions Due: January 12, 2007 Note: Paper submissions are full papers Tutorial Acceptance: January 15, 2007 Authors Notification: February 5, 2007 Final Electronic Draft Due: February 22, 2007 Presentations Due: March 20, 2007 Tutorials Held March 26, 2007 BRIMS 2007 Opens: March 27, 2007 AREAS OF INTEREST Areas of interest for the 16th conference include, but are not limited to, the following (in no particular order): ? Intelligent agents and avatars ? Modeling reasoning and decision making ? Behavior moderators ? Modeling architectures and knowledge representation systems ? Performance assessment and skill monitoring ? Performance enhancement ? Perceptual/cognitive state detection and adaptive displays ? Increasing affordability, efficiency, and/or usability ? Knowledge acquisition/engineering ? Application of COTS software for HBR development ? Verification and validation ? Terrain representation and reasoning ? Spatial representation ? Interoperability ? Time representation ? Physical models of human movement ? Operator interfaces ? Multi-resolution simulation ? Synthetic environments for human behavior representation (HBR) research ? Team, group, crowd, and organizational behavior representation ? HBR for system design and evaluation ? HBR issues in model federations ACCOMMODATIONS and REGISTRATION The Conference will be held at the Marriott Waterside Hotel in Norfolk, VA. Visit http://marriott.com/property/propertypage/orfws for information about the hotel. Conference and hotel registration information coming soon! Note there will be special cross-SIW-BRIMS events! CONFERENCE CHAIRS Laurel Allender & Troy Kelley Army Research Laboratory Human Research & Engineering Directorate SPONSORED BY U.S. Army Research Laboratory Human Research and Engineering Directorate (ARL HRED), the U.S. Army Natick Soldier Center (NSC), the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI), the U.S. Office of Naval Research (ONR), the U.S. Air Force Research Laboratory (AFRL), the National Aeronautical and Space Administration (NASA), and the Defense Advanced Research Projects Agency (DARPA). Classification: UNCLASSIFIED Caveats: NONE Classification: UNCLASSIFIED Caveats: NONE From cassin at rpi.edu Thu Jan 4 21:58:23 2007 From: cassin at rpi.edu (Nick Cassimatis) Date: Thu, 4 Jan 2007 21:58:23 -0500 Subject: [ACT-R-users] Graduate study and postdoctoral work at RPI Human-Level Intelligence Laboratory Message-ID: <027a01c73075$5ddb2ba0$40d37180@MACHINE> I have funding for new graduate students and postdocs in the Human-Level Intelligence Laboratory at the Rensselaer Department of Cognitive Science. The deadline for applying to the graduate program is January 15. Postdoc positions (which I would like to fill ASAP) start in the spring and fall of this coming year, though there is some flexibility. The overall aim of the Human-Level Intelligence Laboratory is to advance the level of intelligence computational systems can model by developing a framework for integrating the strengths of multiple computational methods into a single system. Current projects involve natural language understanding, hybrids of probabilistic, logical and structured inference strategies, and reasoning about the beliefs, desires and intentions people. RPI is a top-tier research university. The Cognitive Science department has identified the PhD program and research as its primary missions. The department is conducting research in a number of areas: cognitive modeling, human and machine learning, multi-agent interactions and social simulation, neural networks and connectionist models, human and machine reasoning, cognitive engineering, etc. RPI is located in historic Troy NY, in the Hudson River Valley, approximately 5 miles North of Albany, NY. It is three hours south of Montreal, 2.5 hours west of Boston, and two hours north of New York City, to which Amtrak runs several trains daily. The Albany area is notable for any things, including its affordable housing, cultural events (e.g., the famed Saratoga Performing Arts Center), and proximity to outdoor recreation (e.g., hiking/skiing in the Adirondack, White, Green, and Berkshire Mountains). See the Web page below regarding research: http://www.cassimatis.com/hlil.html For the application procedure, see http://www.cogsci.rpi.edu/ If you decide to apply for graduate study, let me know by sending a short email. From salvucci at cs.drexel.edu Fri Jan 5 11:12:10 2007 From: salvucci at cs.drexel.edu (Dario Salvucci) Date: Fri, 5 Jan 2007 11:12:10 -0500 Subject: [ACT-R-users] HFES 2007 -- Call for Proposals Message-ID: [Note to ACT-R & Soar folks: HFES has a new Human Performance Modeling Technical Group that would welcome submissions related to cognitive modeling and cognitive architectures] ----- Call for Proposals Human Factors & Ergonomics Society HFES 51st Annual Meeting October 1-5, 2007 Baltimore Waterfront Marriott Hotel Baltimore, Maryland USA DEADLINE FOR PROPOSALS: *** February 12, 2007 *** The Human Factors and Ergonomics Society Annual Meeting is the primary gathering of researchers and practitioners in the field of human factors/ergonomics (HF/E) and related areas. The 51st Annual Meeting will be a special celebration of our historical foundations and views of the future of our profession. As such, we encourage creative proposals for program materials of all kinds. The meeting will take place at the Baltimore Waterfront Marriott Hotel in Baltimore, Maryland. New and alternative formats for presenting HF/E efforts are strongly encouraged. Participants are invited to submit proposals including case studies, debates, demonstrations, competitive product designs, new methodologies, on-site experiments, and posters involving both fixed and dynamic information presentation. The Technical Program Committee encourages participants to suggest new ideas in advance, so that we can be as adaptive and flexible as possible in responding to creative proposals. More details regarding submission are posted on the HFES web site: http://www.hfes.org/web/HFESMeetings/07CallforProposals.html From hongbin.wang at uth.tmc.edu Mon Jan 15 07:50:51 2007 From: hongbin.wang at uth.tmc.edu (hongbin.wang at uth.tmc.edu) Date: Mon, 15 Jan 2007 14:50:51 +0200 Subject: [ACT-R-users] Returned mail: Data format error Message-ID: <200701151309.l0FD9rPf016861@act-r.psy.cmu.edu> Your message was not delivered due to the following reason(s): Your message could not be delivered because the destination server was unreachable within the allowed queue period. The amount of time a message is queued before it is returned depends on local configura- tion parameters. Most likely there is a network problem that prevented delivery, but it is also possible that the computer is turned off, or does not have a mail system running right now. Your message could not be delivered within 4 days: Host 36.66.238.180 is not responding. The following recipients could not receive this message: Please reply to postmaster at uth.tmc.edu if you feel this message to be in error. -------------- next part -------------- A non-text attachment was scrubbed... Name: attachment.zip Type: application/octet-stream Size: 29222 bytes Desc: not available URL: From bhanupvsr at gmail.com Sun Jan 14 20:08:58 2007 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Sun, 14 Jan 2007 20:08:58 -0500 Subject: [ACT-R-users] Call for book chapters Message-ID: <621812f80701141708q779e0f49o429a2e527baa4eb4@mail.gmail.com> *Call for book Chapters* * * *Note: **Papers are reviewed and accepted/rejected on first come first serve basis* The following two books are planned to be published by Springer-Verlag during 2007/2008: (1). Soft Computing Applications in Business (2). Soft Computing Applications in Industry We invite book chapter contributions. Please see the website: http://www.bhanuprasad.org/chapters.html for more information. Please feel free to contact me if you need additional information. Sincerely Bhanu Prasad Contact address Bhanu Prasad Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Email: bhanupvsr at gmail.com Phone: 1-850-412-7350 Fax: 1-850-599-3221 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Mon Jan 15 13:22:33 2007 From: rsun at rpi.edu (Professor Ron Sun) Date: Mon, 15 Jan 2007 13:22:33 -0500 Subject: [ACT-R-users] Reminder: Deadline for Paper Submission is January 31, 2007 --- IJCNN 2007 in Orlando, Florida Message-ID: Reminder: Deadline for Paper Submission is January 31, 2007 --- IJCNN 2007 in Orlando, Florida 2007 International Joint Conference on Neural Networks Orlando, Florida August 12-17, 2007 http://www.ijcnn2007.org The 2007 International Joint Conference on Neural Networks (IJCNN 2007), sponsored by the International Neural Network Society and co- sponsored by the IEEE Computational Intelligence Society, is the premier event in the field of neural networks. It covers all topics in neural network theories and applications, including, but not limited to: - Neural network models and analysis - Connectionist cognitive science and cognitive modeling (language, reasoning, perception, learning, memory, consciousness, emotion, etc.) - Computational neuroscience - Neuroengineering - Cognitive robotics, developmental robotics, and neural robotics - Data analysis and pattern recognition - Signal processing and image processing - Neural control - Neuroinformatics - Hybrid neural-symbolic, neuro-fuzzy, neuro-evolutionary systems, etc. - Bayesian models and other graphical models - Kernel methods - Learning methods: supervised, unsupervised, and reinforcement - Approximate dynamic programming and neural network approaches to optimization - Neural dynamics, complex systems, and chaos - Hardware implementations of neural networks and neuromorphic engineering - Neural networks applications (expert systems, embedded systems, data mining, Multi-agent systems, social computing, financial engineering, bioinformatics, telecommunication, manufacturing, etc.) IJCNN 2007 will feature plenary speakers, special sessions, moderated panel discussions, pre-conference tutorials, post-conference workshops, regular technical sessions, poster sessions, and social functions. Prospective authors are invited to submit complete papers of no more than six (6) pages (including results, figures, tables, and references) in IEEE two-column format. Authors should submit their papers in PDF through the online submission system, which will be available at the website: http://www.ijcnn2007.org. Important Dates: Paper Submission Deadline (including submissions to special sessions): January 31, 2007 Pre-Conference Tutorial and Post-Conference Workshop Proposals: January 31, 2007 Decision Notification: March 31, 2007 Camera-Ready Submission: April 30, 2007 For further information: http://www.ijcnn2007.org ======================================================== Professor Ron Sun Cognitive Science Department Rensselaer Polytechnic Institute 110 Eighth Street, Carnegie 302A Troy, NY 12180, USA phone: 518-276-3409 fax: 518-276-3017 email: rsun at rpi.edu web: http://www.cogsci.rpi.edu/~rsun ======================================================= From taatgen at cmu.edu Mon Jan 15 16:51:39 2007 From: taatgen at cmu.edu (Niels Taatgen) Date: Mon, 15 Jan 2007 16:51:39 -0500 Subject: [ACT-R-users] ACT-R 2007 Summer School Message-ID: <0EBAB368-1D34-42AB-82A8-C2CEA65A771B@cmu.edu> FOURTEENTH ANNUAL ACT-R SUMMER SCHOOL Carnegie Mellon University July 11-19, 2007 ACT-R is a cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time to air traffic control. The most recent advances of the ACT-R theory were detailed in the following paper: Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., and Qin, Y . (2004). An integrated theory of the mind. Psychological Review 111, (4). 1036-1060, available online: http://act-r.psy.cmu.edu/publications/pubinfo.php? id=526 Each year, a summer school is held to train researchers in the use of the ACT-R system. This year the summer school is followed by the International Conference on Cognitive Modeling, which will be in Ann Arbor from July 26 until July 29. See http://sitemaker.umich.edu/ iccm2007.org/home for details. The summer school will take place from Wednesday July 11 to Thursday July 19. This intensive 9-day course is designed to train researchers in the use of ACT-R for cognitive modeling. It is structured as a set of six units, with each unit lasting a day and involving a morning theory lecture, an afternoon discussion session and an assignment which participants are expected to complete during the day and evening. In addition, participants are expected to bring a project of their own to the summer school on which they can work during the remaining three days. Computing facilities will be provided or attendees can bring their own laptop on which the ACT-R software will be installed. To provide an optimal learning environment, admission is limited to a dozen participants, who must submit by April 1 an application consisting of a curriculum vitae, a statement of purpose, and a description of the project they would like to do during the summer school. This project can be based on data from the applicant's own research, or an experimental study from the literature. We encourage applicants to browse through the tutorial texts to get a sense of the kind of experiments that are appropriate for a successful project (the tutorial text is part of the ACT-R distribution, which can be downloaded from http://act-r.psy.cmu.edu/actr6/). Demonstrated experience with a modeling formalism similar to ACT-R will strengthen the application. Applicants will be notified of admission by May 4. Admission to the summer school is free. Housing will be provided in the CMU dormitories for approximately $50/day (single) or $25/day (shared). For participants who want to stay in Pittsburgh until ICCM it is possible to extend dorm housing until July 26. More information, including papers published by the ACT-R community, can be found on the ACT-R web site (http://act-r.psy.cmu.edu/). A registration form is appended below. Additional information (detailed schedule, etc.) will be provided after acceptance and when it becomes available. ________________________________________________________ Fourteenth Annual ACT-R Summer School July 11 to 19, 2007 at Carnegie Mellon University in Pittsburgh REGISTRATION ============ Name: .............................................................. .... Address: .............................................................. .... Tel/ Fax: .................................................................. Email: .............................................................. .... Send this form, curriculum vitae, statement of purpose and a description of the project by email (preferred) or regular mail to: 2007 ACT-R Summer School Psychology Department Niels Taatgen Baker Hall 345B Fax: +1 (412) 268-2844 Carnegie Mellon University Tel: +1 (412) 268-2815 Pittsburgh, PA 15213-3890 Email: taatgen at cmu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.halbruegge at unibw.de Tue Jan 16 05:17:10 2007 From: marc.halbruegge at unibw.de (Marc Halbruegge) Date: Tue, 16 Jan 2007 11:17:10 +0100 Subject: [ACT-R-users] Question concerning the new utility learning algo Message-ID: <45ACA626.7020105@unibw.de> Hi! I'm just figuring out how the new version works. To me, there are two big differences between the algos: 1. In the old one, there was no discounting. The reward was propagated to the whole trajectory (quote: "When such a production fires all the productions that have fired since the last marked production fired are credited with a success or failure."). 2. The new one uses a moving average as estimator of the utility (r=reward): x(n)=x(n-1) + a[r - x(n-1)} with constant a while the old one used a "normal" average x(n)=x(n-1) + a[r - x(n-1)} with a=1/N, N being the number of visits The old algo was quite similar to what is called Monte-Carlo-Estimation (equivalent to TD(1)) in the machine learning literature. The new one has some similarities with TD(lambda), but uses a linear instead of the usual exponential discounting function and uses a moving average which is quite unusual because it leads to much more noise in the estimator. So here's my question: What is the reason for the use of a constant learning rate? The possibility to re-adapt faster when the task changes? Is it possible to get a mixture of both algorithms? Greetings Marc Halbruegge -- Dipl.-Psych. Marc Halbruegge Human Factors Institute Faculty of Aerospace Engineering Bundeswehr University Munich Werner-Heisenberg-Weg 39 D-85579 Neubiberg Phone: +49 89 6004 3497 Fax: +49 89 6004 2564 E-Mail: marc.halbruegge at unibw.de From simsc at rpi.edu Tue Jan 16 08:13:32 2007 From: simsc at rpi.edu (Chris R. Sims) Date: Tue, 16 Jan 2007 08:13:32 -0500 Subject: [ACT-R-users] Question concerning the new utility learning algo In-Reply-To: <45ACA626.7020105@unibw.de> References: <45ACA626.7020105@unibw.de> Message-ID: <1ED825D3-D17F-4F30-827A-3554D90802DE@rpi.edu> Hi Marc, The new algorithm (using constant learning rate) implicitly defines an exponential recency weighted average over the history of feedback. You can do a series expansion to show this. Although someone at CMU will have to give you the "official" reason for using the equation, it does as you suggest allow for re-adapting faster to task changes. More importantly though, humans and animal decision makers tend to be more influenced by local feedback rather than integrating the entire history of rewards, even in stationary environments. Most of the studies demonstrating this have used environments with probabilistic rewards or reward magnitudes, but stationary reward statistics. It's an empirical question whether the new algorithm's exponential decay is more appropriate than say a power-law decay or some other function. I have some currently unpublished data using maximum likelihood fits of several decay functions suggesting that an exponential decay fits just as well as a power function, but definitely better than the old ACT-R mechanism. Although I'm not aware of any other published studies specifically examining exponential decay in adapting to feedback, it's certainly reminiscent of the debate over an appropriate memory retention function, where there is a large but somewhat inconclusive literature. I hope that helps with your questions, Chris Sims Department of Cognitive Science Rensselaer Polytechnic Instiute Troy, NY 12180 On Jan 16, 2007, at 5:17 AM, Marc Halbruegge wrote: > Hi! > > I'm just figuring out how the new version works. To me, there are two > big differences between the algos: > > 1. In the old one, there was no discounting. The reward was propagated > to the whole trajectory (quote: "When such a production fires all the > productions that have fired since the last marked production fired > are > credited with a success or failure."). > > 2. The new one uses a moving average as estimator of the utility > (r=reward): > x(n)=x(n-1) + a[r - x(n-1)} with constant a > while the old one used a "normal" average > x(n)=x(n-1) + a[r - x(n-1)} with a=1/N, N being the number of > visits > > The old algo was quite similar to what is called Monte-Carlo- > Estimation > (equivalent to TD(1)) in the machine learning literature. The new one > has some similarities with TD(lambda), but uses a linear instead of > the > usual exponential discounting function and uses a moving average which > is quite unusual because it leads to much more noise in the estimator. > > So here's my question: What is the reason for the use of a constant > learning rate? The possibility to re-adapt faster when the task > changes? > Is it possible to get a mixture of both algorithms? > > Greetings > Marc Halbruegge > > > -- > Dipl.-Psych. Marc Halbruegge > Human Factors Institute > Faculty of Aerospace Engineering > Bundeswehr University Munich > Werner-Heisenberg-Weg 39 > D-85579 Neubiberg > > Phone: +49 89 6004 3497 > Fax: +49 89 6004 2564 > E-Mail: marc.halbruegge at unibw.de > _______________________________________________ > ACT-R-users mailing list > ACT-R-users at act-r.psy.cmu.edu > http://act-r.psy.cmu.edu/mailman/listinfo/act-r-users > From ja+ at cmu.edu Tue Jan 16 08:17:04 2007 From: ja+ at cmu.edu (John Anderson) Date: Tue, 16 Jan 2007 08:17:04 -0500 Subject: [ACT-R-users] Question concerning the new utility learning algo In-Reply-To: <45ACA626.7020105@unibw.de> References: <45ACA626.7020105@unibw.de> Message-ID: Thanks for these questions. The time between production and reward is subtracted from the reward for that production giving a discount. This fact is relevant to your question below. The motivations for these choices was to make the behavior of the new utility learning mechanism similar to the current in terms of the reward a production receives. The new system is simpler and extends to a greater variety of situations (i.e., variable rewards and rewards not tied to productions). You are right, however, that the averaging mechanism is different. We may revisit the averaging mechanism but it has the following attractive properties: (1) It discounts past experiences; (2) it is very simple computationally; (3) it is basically the simple learning rule that has a long and successful history that goes at least to Bush & Mosteller (1955) and, indeed, has similarities to TD(lambda). The new mechanism receives further discussion in my forthcoming book. I remind everyone that the old mechanism is still available within the new release. We strive not to upset anyone's work or mandate changes. At 11:17 AM +0100 1/16/07, Marc Halbruegge wrote: >Hi! > >I'm just figuring out how the new version works. To me, there are two >big differences between the algos: > >1. In the old one, there was no discounting. The reward was propagated > to the whole trajectory (quote: "When such a production fires all the > productions that have fired since the last marked production fired are > credited with a success or failure."). > >2. The new one uses a moving average as estimator of the utility > (r=reward): > x(n)=x(n-1) + a[r - x(n-1)} with constant a > while the old one used a "normal" average > x(n)=x(n-1) + a[r - x(n-1)} with a=1/N, N being the number of visits > >The old algo was quite similar to what is called Monte-Carlo-Estimation >(equivalent to TD(1)) in the machine learning literature. The new one >has some similarities with TD(lambda), but uses a linear instead of the >usual exponential discounting function and uses a moving average which >is quite unusual because it leads to much more noise in the estimator. > >So here's my question: What is the reason for the use of a constant >learning rate? The possibility to re-adapt faster when the task changes? >Is it possible to get a mixture of both algorithms? > >Greetings >Marc Halbruegge > > >-- >Dipl.-Psych. Marc Halbruegge >Human Factors Institute >Faculty of Aerospace Engineering >Bundeswehr University Munich >Werner-Heisenberg-Weg 39 >D-85579 Neubiberg > >Phone: +49 89 6004 3497 >Fax: +49 89 6004 2564 >E-Mail: marc.halbruegge at unibw.de >_______________________________________________ >ACT-R-users mailing list >ACT-R-users at act-r.psy.cmu.edu >http://act-r.psy.cmu.edu/mailman/listinfo/act-r-users -- ========================================================== John R. Anderson Carnegie Mellon University Pittsburgh, PA 15213 Phone: 412-268-2788 Fax: 412-268-2844 email: ja at cmu.edu URL: http://act.psy.cmu.edu/ From optifreeyu at gmail.com Sat Jan 20 00:41:06 2007 From: optifreeyu at gmail.com (ayu lian) Date: Sat, 20 Jan 2007 13:41:06 +0800 Subject: [ACT-R-users] Call for Papers & Special Session Proposals: ICNC'07-FSKD'07 Message-ID: <14369a8f0701192141k25e3e6d1l524911cce7012de7@mail.gmail.com> ** Our apologies if you receive multiple copies of this announcement * ---------------------------------------------------------------------- The 3rd International Conference on Natural Computation (ICNC'07) The 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07) ---------------------------------------------------------------------- 24 - 27 August 2007, Haikou, China *** Submission Deadline: 15 March 2007 *** ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ http://www.hainu.edu.cn/htm/icnc-fskd2007 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Call for Papers & Special Session Proposals The joint ICNC'07-FSKD'07 will be held in Haikou, China. Haikou, the capital city of Hainan Province, is a pleasant modern city with a number of historical and cultural sights to see and to hold you for a few days before heading off to Hainan's beautiful beaches and inland villages. ICNC'07-FSKD'07 aims to provide an international forum for scientists and researchers to present the state of the art of intelligent methods inspired from nature, including biological, linguistic, ecological, and physical systems, with applications to data mining, manufacturing, design, reliability, and more. It is an exciting and emerging inter- disciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. Previously, the joint conferences in 2005 and 2006 each attracted over 3100 submissions from more than 30 countries. All accepted papers will be indexed by both EI (Compendex) and ISTP. Furthermore, extended versions of many good papers will be published in SCI-indexed journals, as well as Lecture Notes in Computer Science (LNCS) and Lecture Notes in Artificial Intelligence (LNAI) that will be indexed in SCI-Expanded. In addition to regular sessions, participants are encouraged to organize special sessions on specialized topics. Each special session should have at least 4 papers. Special session organizers will solicit submissions, conduct reviews and recommend accept/reject decisions on the submitted papers. For more information, visit the conference web page or email the secretariat at nc2007 at hainu.edu.cn Join us at this major event in scenic Hainan !!! -------------- next part -------------- An HTML attachment was scrubbed... URL: From zhang at cis.uab.edu Mon Jan 22 17:06:01 2007 From: zhang at cis.uab.edu (IEEE-IRI07-Publicity) Date: Mon, 22 Jan 2007 16:06:01 -0600 (CST) Subject: [ACT-R-users] Call for Papers: IEEE IRI-2007 Message-ID: ----------------------------------------------------------------- The 2007 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2006) Sponsored by: The IEEE Systems, Man and Cybernetics Society August 13-15, 2007, Hilton Hotel, Las Vegas, USA http://www.sis.pitt.edu/~iri07/ ----------------------------------------------------------------- With the rapidly increasing volumes of information in digital form, we are constantly faced with newer challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment decision capabilities in various application domains. The IEEE International Conference on Information Reuse and Integration conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. The IEEE IRI will feature contributed as well as invited papers. Theoretical and applied papers are both included in this call. The conference program will include special sessions, open forum workshops and keynote speeches. Several funding agency program directors - including NSF, ONR, et al. - will present an open panel discussion entitled Funding Opportunities in Information Reuse and Systems Engineering. The conference includes, but is not limited to, the areas listed below: - Large Scale Data and System Integration - Component-Based Design and Reuse - Unifying Data Models (UML, XML, etc.) and Ontologies - Database Integration - Structured/Semi-structured Data - Middleware & Web Services - Reuse in Software Engineering - Data Mining and Knowledge Discovery - Sensory and Information Fusion - Reuse in Modeling & Simulation - Automation, Integration and Reuse across Various Applications - Information Security & Privacy - Survivable Systems & Infrastructures - AI & Decision Support Systems - Heuristic Optimization and Search - Knowledge Acquisition and Management - Fuzzy and Neural Systems - Soft Computing - Evolutionary Computing - Case-Based Reasoning - Natural Language Understanding - Knowledge Management and E-Government - Command & Control Systems (C4ISR) - Human-Machine Information Systems - Space and Robotic Systems - Biomedical & Healthcare Systems - Homeland Security & Critical Infrastructure Protection - Manufacturing Systems & Business Process Engineering - Multimedia Systems - Service-Oriented Architecture - Autonomous Agents in Web-based Systems - Information Integration in Grid Computing Environment - Information Integration in Mobile Computing Environment - Information Integration in Ubiquitous Computing Environment - Systems of Systems - Semantic Web and Emerging Applications - Information Reuse, Integration and Sharing in Collaborative Environments Instructions for Authors: ------------------------- Papers reporting original and unpublished research results pertaining to the above and related topics are solicited. Full paper manuscripts must be in English of length 4 to 6 pages (using the IEEE two-column template). Submissions should include the title, author(s), affiliation(s), e-mail address(es), tel/fax numbers, abstract, and postal address(es) on the first page. Papers should be submitted at the conference web site: http://www.sis.pitt.edu/~iri07. If web submission is not possible, manuscripts should be sent as an attachment via email to either of the Program Chairs (mailing address available on the conference website) on or before the deadline date of March 25, 2007. The attachment must be in .pdf (preferred) or word.doc format. The subject of the email must be ?IEEE IRI 2007 Submission.? Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Authors should certify that their papers represent substantially new work and are previously unpublished. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted. Authors of selected papers that are also presented at the conference will be invited to submit expanded versions of their papers for review for publication in an approved special issue of the IEEE SMC Transactions, part C, on IRI to be published in 2008. Important Dates: ---------------- Feb. 11, 2007: Workshop/Special session proposal Mar. 25, 2007: Paper submission deadline Apr. 29, 2007: Notification of acceptance May 20, 2007: Camera-ready paper due May 20, 2007: Presenting author registration due Jul. 10, 2007: Advance (discount) registration for general public and other co-author Jul. 31, 2007: Hotel reservation (special discount rate) closing date Aug. 13-15,2007: Conference events Orgizing Committee: ------------------- Honorary General Chair -- Lotfi Zadeh University of California, USA zadeh at cs.berkeley.edu General Chairs -- Stuart Rubin SPAWAR Systems Center, USA stuart.rubin at navy.mil Shu-Ching Chen Florida International University, USA chens at cs.fiu.edu Program Chairs -- Weide Chang California State University, USA changw at ecs.csus.edu James B. D. Joshi University of Pittsburgh, USA jjoshi at mail.sis.pitt.edu Workshop Chairs -- Du Zhang California State University, USA zhangd at ecs.csus.edu Taghi M. Khoshgoftaar Florida Atlantic University, USA taghi at cse.fau.edu Eric Gr?goire Universit? d'Artois, France gregoire at cril.univ-artois.fr Publicity Chair -- Chengcui Zhang, University of Alabama at Birmingham, USA zhang at cis.uab.edu Asian Liaison -- Althea Liang Qianhui, Singapore Management University, Singapore, althealiang at smu.edu.sg Finance & Registration Chair -- Ju-Yeon Jo California State University, USA jo at egr.unlv.edu Publications Chair -- TBD Local Arrangements Chair -- Louellen McCoy SPAWAR Systems Center, USA louellen.mccoy at navy.mil Webmaster -- Saubhagya Ram Joshi University of Pittsburgh, USA srjoshi at mail.sis.pitt.edu From ree at cs.ualberta.ca Mon Jan 22 23:54:23 2007 From: ree at cs.ualberta.ca (Renee Elio) Date: Mon, 22 Jan 2007 21:54:23 -0700 Subject: [ACT-R-users] Univ. of Alberta Graduate, Post-doc opportunities Message-ID: MSc, PhD, or PostDoc positions are available at the University of Alberta in the general area of intention modeling within ACT-R and related frameworks. MSc or PhD students must the admission requirements of either the Department of Computing Science http:// www.cs.ualberta.ca/ or the Department of Psychology http:// www.psych.ualberta.ca/ Contact Ren?e Elio (ree at cs.ualberta.ca) directly for information about these possibilities and funding information http://www.cs.ualberta.ca/~ree -------------- next part -------------- An HTML attachment was scrubbed... URL: From fomi at loa-cnr.it Mon Jan 29 04:34:31 2007 From: fomi at loa-cnr.it (Fomi) Date: Mon, 29 Jan 2007 10:34:31 +0100 Subject: [ACT-R-users] [FOMI] CFP: SWAE07 Message-ID: Apologies for multiple postings ------------------------------------------ 1st International Workshop on Semantic Web Architectures for Enterprises - SWAE07 http://www.dbgroup.unimo.it/swae07 in conjunction with DEXA 2007 18th International Conference on Database and Expert Systems Applications Regensburg, Germany 3-7 September 2007 **************************************** AIMS AND SCOPE "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners." [W3C - http://www.w3.org/2001/sw/] SWAE aims at evaluating how and how much the Semantic Web vision has met its promises with respect to business and market needs. Even though the Semantic Web is a relatively new branch of scientific and technological research, its relevance has already been envisaged for some crucial business processes: - Semantic-based business data integration: data integration satisfies both "structural" requirements of enterprises (e.g. the possibility of consulting its data in a unified manner), and "dynamic" requirement (e.g. business-to-business partnerships to execute an order). Information systems implementing semantic web architectures can strongly support this process, or simply enable it. - Semantic interoperability: metadata and ontologies support the dynamic and flexible exchange of data and services across information systems of different organizations. The development of applications for the automatic classification of services and the translation of such classifications into the different standards used by companies is a clear example of the potential for semantic interoperability methods and tools. - Knowledge management: ontologies and automated reasoning tools seem to provide an innovative support to the elicitation, representation and sharing of corporate knowledge. In particular, for the shift from document-centric KM to an entity-centric KM approach. - Enterprise and process modeling: ontologies and rules are becoming an effective way for modeling corporate processes and business domains (for example, in cost reduction). The goal of the workshop is to evaluate and assess how deep the permeation of Semantic Web models, languages, technologies and applications has been in effective enterprise business applications. It would also identify how semantic web based systems, methods and theories sustain business applications such as decision processes, workflow management processes, accountability, and production chain management. A particular attention will be dedicated to metrics and criteria that evaluate cost-effectiveness of system designing processes, knowledge encoding and management, system maintenance, etc. Papers and demonstrations of interest for the workshop will show and highlight the interactions between Semantic Web technologies and business applications. In particular, the workshops aims at collecting models, tools and practical experience in which Semantic Web techniques have been developed and applied to support any relevant business process, and assess their degree of success, the difficulties which were addressed, the solutions which have been found, the new tools which have been implemented. TOPICS The topics of the workshop include, but are not limited to: * Semantic Integration * Information extraction * Managing metadata for information integration * Managing metadata for data classification * Semantic Web technologies for enterprises * Ontologies for Information Integration and data exch * Schema mapping/evaluating/integrating * On-the-fly Integration * Information Integration architectures * Reviews and evaluation of existing Integration approaches * Data Integration in e-Commerce applications * Integration of legacy applications in a semantic web architecture * Semantic web and business processes * Reliability and scalability of Semantic Web technologies and tools * Enterprise-level tools and applications * Costs of semantic-based architectures for enterprises * Semantic Web and Integrated Information Systems * Semantic based systems and business applications: cost management, decision support systems, workflow management systems, etc. * Economic sustainability of semantic web based systems * Metrics to evaluate the cost-effectiveness of the knowledge encoding process IMPORTANT DATES * Submission of abstracts: March 2, 2007 * Submission of full papers: March 23, 2007 * Notification of acceptance: April 28, 2007 * Camera-ready copies due: May 31, 2007 PAPER SUBMISSION AND PUBLICATION Authors are invited to submit original, unpublished research and application papers that are not being considered in another forum. Manuscripts will be limited to 5 two-column pages (IEEE Proceeding style) including figures and references. Please follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers (http://www.computer.org/portal/site/cscps/index.jsp). Authors of accepted papers are requested to sign the IEEE copyright form. At least one author of each accepted paper is required to attend the conference and present the paper. Papers accepted for presentation will be published by IEEE Computer Society Press as proceedings of the DEXA'07 workshops. Authors of accepted papers are requested to send the full paper to be received by May 31, 2007. PC CHAIRS Prof. Sonia Bergamaschi Department of Computer Science University of Modena and Reggio Emilia Prof. Paolo Bouquet Department of Information and Communication Technology Univers of Trento Dott. Francesco Guerra Department of Business Economics University of Modena and Reggio Emilia PC COMMITTEE Carlo Batini, Università degli Studi di Milano Bicocca, Italy Andreas Becks, Fraunhofer-Institut für Angewandte Informationstechnik FIT, Germany Francesco Bellomi, University of Verona , Italy Omar Boucelma, Université Aix-Marseille, France Andrea Calì, Free University of Bolzano/Bozen, Italy Oscar Corcho, University of Manchester, UK Isabel Cruz, University of Illinois at Chicago, USA Roberta Cuel, Università di Trento, Italy Stefan Decker, Digital Enterprise Research Institute National University of Ireland, Galway, Ireland Alfio Ferrara, Università degli Studi di Milano, Italy Mohand-Said Hacid, Universite Claude Bernard Lyon 1, France Matthias Hemmje, FernUniversität Hagen, Germany Mustafa Jarrar, Vrije Universiteit Brussels, Belgium Alain Leger, France Telecom R&D, France Claudia Niederee, L3S Research Center, Germany Lyndon Nixon, University of Berlin, Germany Aris M. Ouksel, University of Illinois at Chicago, USA Christoph Quix, RWTH Aachen, Germany Peter Spyns, Vrije Universiteit Brussel, Belgium Steffen Staab, University of Koblenz-Landau, Germany York Sure, Institut AIFB Universitat Karlsruhe, Germany