From stocco at cmu.edu Thu Dec 1 19:40:17 2005 From: stocco at cmu.edu (Andrea Stocco) Date: Thu, 1 Dec 2005 19:40:17 -0500 (EST) Subject: [ACT-R-users] ICCM 2006 :: The 7th International Conference on Cognitive Modeling :: Message-ID: <50018.71.240.48.69.1133484017.squirrel@71.240.48.69> (Apologies for multiple postings...) Dear member of the ACT-R community, We would like to remind you that the deadline for ICCM 2006 is approaching: Please, take note of the following information. CALL FOR PAPERS ICCM-2006: The 7th International Conference on Cognitive Modeling Trieste, Italy, 5 - 8 April 2006 The International Conference on Cognitive Modeling provides an international forum that allows cognitive scientists pursuing computational modeling to present, discuss and evaluate their models, to compare different architectural approaches, and to further the development, accumulation and integration of cognitive theories. The goal of ICCM-2006 is to foster the development of models of human cognition based on a principled integration of analytical, experimental and computational tools capable of providing theoretical accounts of phenomena spanning different levels of analysis, from the behavioral to the neuronal ones. ICCM-2006 invites the submission of papers from the whole scope of modeling approaches including, but not restricted to,symbolic, connectionist, hybrid, neural, Bayesian, statistical and mathematical models. Authors are strongly encouraged (but not obliged) to include in the submission the code of the models discussed in their work. Invited Speakers: - Dario Floreano (Ecole Polytechnique Federal de Lausanne, Lausanne, Switzerland) - Wayne D. Gray (Rensselaer Polytechnic Institute, Troy, NY) - Boicho Kokinov (New Bulgarian University, Sofia, Bulgaria) - Tom M. Mitchell (Carnegie Mellon University, Pittsburgh, PA) - Richard L. Lewis (University of Michigan, Ann Arbour, MI) Program Committee (provisional list) - Erik M. Altmann (Michigan State University, East Lansing, MI) - John R. Anderson (Carnegie Mellon Univerity, Pittsburgh, PA) - Annamaria Borghi (University of Bologna, Bologna, Italy) - Mike D. Byrne (Rice University, Austin, TX) - Cristiano Castelfranchi (National Research Council CNR, Roma, Italy - Tatiana Chernigovskaya (St.Petersburgh State University, St.Petersburgh, Russia) - Axel Cleeremans (Free University of Brussels, Brussels, Belgium) - Richard P. Cooper (Birkbeck University of London, London, UK) - Dietrich Doerner (University of Bamberg, Germany) - Stefano Ghirlanda (University of Bologna, Italy) - Kevin A. Gluck (Air Force Research Laboratory, Mesa, AZ) - Wayne D. Gray (Rensselaer Polytechnic Institute, Troy, NY) - Glenn F. Gunzelmann (Air Force Research Laboratory, Mesa, AZ) - Boicho Kokinov (New Bulgarian University, Sophia, Bulgaria) - Christian Lebiere (Micro Analysis and Design, Pittsburgh, PA) - Frank J. Lee (Drexel University, Philadelphia, PA) - Richard L. Lewis (University of Michigan, Ann Arbor, MI) - Marsha C. Lovett (Carnegie Mellon University, Pittsburgh, PA) - Stellan Ohlsson (University of Illinois, Chicago, IL) - Frank E. Ritter (Penn State University, University Park, PA) - Dario Salvucci (Drexel University, Philadelphia, PA) - Lael J. Schooler (Max Planck Institute, Berlin, Germany) - Christian D. Schunn (University of Pittsburgh, PA) - Tim Shallice (International School of Advanced Studies SISSA, Trieste, Italy) - Ron Sun (Rensselaer Polytechnic Institute, Troy, NY) - Niels Taatgen (University of Groningen, Groningen, The Netherlands) - Werner Tack (Saarland University, Saarbruecken, Germany) - Alessandro Treves (International School of Advanced Studies SISSA, Trieste, Italy) - Hedderick van Rijn (University of Groningen, Groningen, The Netherlands) - Boris M. Velichkovsky (Dresden University of Technology, Dresden, Germany) - Ipke Wachsmuth (University of Bielefeld, Bielefeld, Germany) - Richard M. Young (University College London, London, UK) Submission Categories: - Papers: scientific contribution ranging in length from 4 to a maximum of 6 pages. - Abstracts: short scientific contribution (up to 2 pages). Accepted papers and abstracts will appear in the conference proceedings, and will be presented as a talk or as a poster at the conference. Submission Deadlines: - Papers: 15 December 2005 - Abstracts: 10 February 2006 - Final contributions due: 20 February 2006 Submission Formats: All submissions must be camera-ready pdf files named in the format "firstAuthorName.pdf". The files should be readable by a standard Acrobat Reader (version 6.0 or superior), and must be editable by people other than the author. Special non-standard fonts must be included within the submitted file. Templates for the files could be downloaded from the conference website: http://iccm2006.units.it. Page length: Submitted papers can be from 4 up to 6 pages long. Papers accepted for publication will appear in the proceedings, and will either be presented as a talk or as a poster at the conference. Abstracts are 2 pages long and will be presented only as a poster. Please note: As an issue of fairness, submissions that are over these lengths will be rejected without review. Similarly, submission files that are not readable or editable will be rejected without review. Additional Materials: Authors are strongly encouraged (but not enforced) to include in the submission the code of the models discussed in their work. Submitted models should be sent through a zip/gz archive containing all the code, and sharing the same name of the pdf file. All submissions must be sent to: iccm2006 at theoffice.it ------------------------------------------------------------------------------------ Organizing Committee: Danilo Fum (University of Trieste) Andrea Stocco (Carnegie Mellon University) Fabio Del Missier (University of Trento) Contacts: website: iccm2006.units.it email: iccm2006 at units.it. ------------------------------------------------------------------------------------ Organizing secretariat: The Office www.theoffice.it/iccm2006 From rsun at rpi.edu Sat Dec 3 11:04:52 2005 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 3 Dec 2005 11:04:52 -0500 Subject: [ACT-R-users] Ph.D program in Cognitive Science at RPI Message-ID: <8D291EEE-03D7-4372-88FB-BEBD7C1E72C3@rpi.edu> I am looking for a few Ph.D students. The Ph.D program of the Cognitive Science department at RPI is accepting applications. Graduate assistantships and other forms of financial support for graduate students are available. Prospective graduate students with interests in Cognitive Science, especially in learning and skill acquisition and in the relationship between cognition and sociality, are encouraged to apply. Prospective applicants should have background in computer science (the equivalent of a BS in computer science), and have some prior exposure to psychology, artificial intelligence, connectionist models (neural networks), multi-agent systems, and other related areas. Students with a Master's degree already completed are preferred. RPI is a top-tier research university. The CogSci department has identified the Ph.D 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, and so on. See the Web page below regarding my research: http://www.cogsci.rpi.edu/~rsun For the application procedure, see http://www.cogsci.rpi.edu/ The application deadline is Jan.15, 2005. If you decide to apply, follow the official procedure as outlined on the Web page. Send me a short email (in plain text) AFTER you have completed the application. ======================================================== 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 reder at cmu.edu Sun Dec 11 10:34:54 2005 From: reder at cmu.edu (Lynne Reder) Date: Sun, 11 Dec 2005 10:34:54 -0500 Subject: [ACT-R-users] postdoctoral position available Message-ID: <30C6E904-B82E-4E89-9249-F923FADE2063@cmu.edu> There is an opening for a postdoctoral fellow in the Memory Lab at Carnegie Mellon University (http://www.andrew.cmu.edu/user/reder/ reder.html). Research in the lab is concerned with understanding human memory and we use a variety of approaches to help constrain theorizing. Our approaches are primarily behavioral experimentation and computational modeling, but also include neuro-imaging (fMRI and ERP) and psycho- pharmacological intervention. We combine approaches as well, e.g., modeling drug experiments, imaging drug experiments. Papers describing work performed in the lab can be found at the website listed above. The lab is affiliated with both the Department of Psychology and the Center for the Neural Basis of Cognition (CNBC). Experience in programming and cognitive neuroscience are desirable. If interested, please email a vita, a brief statement of research interests, and the names of three references to reder at cmu.edu. Informal inquires are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Raluca.Budiu at parc.com Mon Dec 12 14:19:28 2005 From: Raluca.Budiu at parc.com (Raluca.Budiu at parc.com) Date: Mon, 12 Dec 2005 11:19:28 PST Subject: [ACT-R-users] News from GLSA and survey request Message-ID: <0B5954ACD6FE2340B81D1F79C91B192E37BAD8@MOONRAKER.ad.parc.com> Hello, all, A while back I posted on this list advertising the GLSA similarity computation engine at PARC (http://glsa.parc.com). Thank you all for your very valuable feedback. For those of you who haven't checked our web page in a while, I would like to give you a quick update on the new status of GLSA project: 1. In the past, because we performed stemming on our corpus, many common words were reported as not found (e.g., if you entered "places" you would get an error message because only "place" was actually included in the database). Now we automatically detect those cases and report the similarities of the stem words. We soon hope to also have another corpus (the TASA corpus that LSA uses) available for the similarity computations. 2. You can use our website to compute raw Pointwise Mutual Information (PMI) scores and word "frequencies". The "frequency" of a word represents in fact the document frequency for that word (i.e., the number of documents in our corpus that contain that word). The PMI values can be output into an ACT-R format (as can the GLSA results). 3. If you could spare a few minutes, we would be very grateful if you could fill in this category rating survey: http://glsa.parc.com/ratings/ It should take at most 15 minutes. Please do not think too hard about the answers; there are no correct answers. We will not be recording any information about who you are, so your response will be completely anonymous. This survey is part of our effort to better understand the relationship between similarity (e.g., GLSA) and category membership. Thank you in advance and wish you happy holidays! -- Raluca Budiu, Ph.D. Palo Alto Research Center User Interface Research Group -- Raluca From pward at lsi.fsu.edu Fri Dec 16 11:31:54 2005 From: pward at lsi.fsu.edu (Paul Ward) Date: Fri, 16 Dec 2005 11:31:54 -0500 Subject: [ACT-R-users] Special Issue - Call for Papers - Interacting with Computers Message-ID: Dear ACT-R listserve, Please would you be so kind as to list the attached call for papers on your listserve. Many thanks, -- Paul Ward, Ph.D. Associate in Research Human Performance Laboratory Learning Systems Institute Florida State University Suite 254, 2010 Levy Avenue Tallahassee, FL 32306-2738 Tel: 850-644-5649 Fax: 850-645-2795 pward at lsi.fsu.edu http://www.lsi.fsu.edu/hpl -------------- next part -------------- A non-text attachment was scrubbed... Name: IWC call.doc Type: application/octet-stream Size: 28160 bytes Desc: not available URL: From rlweaver at stat.cmu.edu Tue Dec 20 20:35:55 2005 From: rlweaver at stat.cmu.edu (Rhiannon L Weaver) Date: Tue, 20 Dec 2005 20:35:55 -0500 (EST) Subject: [ACT-R-users] Question about chunk recall times Message-ID: In the Atomic Components of thought book it is mentioned that using the equation RT = Fe^{-(A + epsilon)} yields a Weibull distribution for chunk recall times (where RT = "retrieval time" and A + epsilon = noisy activation of the chunk). Can someone point me to a proof of this? I am wondering if the distribution arises conditional on the chunk being chosen? If I do a straight transformation of variables assuming the variation comes from the logistic epsilon, I don't get a Weibull distribution, I get something else, something that looks like quadratic decay in time. Help? Thanks, -Rh Rhiannon Weaver PhD student, Statistics Carnegie Mellon University -------------------------- Serenity lands September 30! http://www.serenitymovie.com From ja+ at cmu.edu Tue Dec 20 21:36:14 2005 From: ja+ at cmu.edu (John Anderson) Date: Tue, 20 Dec 2005 21:36:14 -0500 Subject: [ACT-R-users] Question about chunk recall times In-Reply-To: References: Message-ID: Rhiannon: I felt motivated to look at this at home without my stat books in hand: As much as this is discussed it is in the Appendix of Chapter 3. Looking at this it seems to me that the claim is that the Gumbel (or double exponential as I have since learned to call it) is related to the Weibull by this transformation. Now, one potential for confusion is the Gumbel is not really the activation distribution but an approximation as discussed in that Appendix. And I think as you assert, it is conditional on the chunk being chosen. However, overlooking this detail, it still seems to me at home that Gumbel is related to the Weibull as claimed. However, I would be more than happy if you could show me how to better present this in future efforts or indeed show me otherwise. I am just upstairs. I was hoping your efforts would improve my education. --John At 8:35 PM -0500 12/20/05, Rhiannon L Weaver wrote: >In the Atomic Components of thought book it is mentioned that using the >equation RT = Fe^{-(A + epsilon)} yields a Weibull distribution for chunk >recall times (where RT = "retrieval time" and A + epsilon = noisy >activation of the chunk). > >Can someone point me to a proof of this? I am wondering if the >distribution arises conditional on the chunk being chosen? If I do a >straight transformation of variables assuming the variation comes from the >logistic epsilon, I don't get a Weibull distribution, I get something >else, something that looks like quadratic decay in time. Help? > >Thanks, >-Rh > >Rhiannon Weaver >PhD student, Statistics >Carnegie Mellon University > >-------------------------- >Serenity lands September 30! http://www.serenitymovie.com > > >_______________________________________________ >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 schunn+ at pitt.edu Thu Dec 22 09:47:50 2005 From: schunn+ at pitt.edu (Christian Schunn) Date: Thu, 22 Dec 2005 09:47:50 -0500 Subject: [ACT-R-users] Best paper prizes in computational cognitive modeling for Cogsci 2006 Message-ID: <56569EC9-E508-4914-A1F6-151A9B292E09@pitt.edu> Four prizes worth $1,000 (USD) each will be awarded for the best full paper submissions to the 2006 Annual Meeting of the Cognitive Science Society that involve computational cognitive modeling. The four separate prizes will represent the best modeling work in the respective areas of: perception, language, higher-level cognition, and applied cognition. The prizes are open to researchers at any level (student, postdoc, research scientist, faculty) from any nationality. Any form of computational cognitive modeling relevant to cognitive science will be eligible, including (but not limited to) connectionism, symbolic, Bayesian, dynamic systems, or various hybrids. No special submission procedure is required---all full paper submissions to the conferences will be automatically considered, using the interdisciplinary program committee that is supervising the review process. The full paper submission deadline is February 1st, 2006. For further details about the conference submission procedure, see http://www.cogsci.rpi.edu/~rsun/cogsci2006/. These prizes are supported by a grant from the US National Science Foundation. Please pass this notice around to relevant colleagues and students. ================================================= Christian Schunn Assistant Professor of Psychology, Intelligent Systems, and Education Research Scientist, Learning Research & Development Center University of Pittsburgh schunn at pitt.edu, http://www.lrdc.pitt.edu/schunn ================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From simsc at rpi.edu Tue Dec 27 09:11:59 2005 From: simsc at rpi.edu (Chris R. Sims) Date: Tue, 27 Dec 2005 09:11:59 -0500 Subject: [ACT-R-users] Question about chunk recall times In-Reply-To: References: Message-ID: <20AEBF02-F949-490C-BAA1-D66CE572B777@rpi.edu> Rhiannon, When I do the transformation I get the following for the PDF of retrieval latencies, conditional on a chunk being selected: -------------- next part -------------- A non-text attachment was scrubbed... Name: Eq-1.gif Type: image/gif Size: 1978 bytes Desc: not available URL: -------------- next part -------------- x is the retrieval time, F is the latency scale factor, A is the activation of the chunk, and b is the shape parameter of the logistic noise distribution. The integral of this adds to one, so I'm fairly sure this is correct. Is this also what you obtained? Also, I think there is some ambiguity about the distribution of retrieval times. The above equation gives the distribution for one chunk, conditional on it being selected. So if you repeatedly retrieved a chunk with a constant base level activation, you would get the above distribution due to noise. I think (but correct me if I'm wrong) that the Gumbel or extreme value distribution is used to approximate the retrieval times selecting from a set of identically distributed chunks. In this case, the Weibull is not conditional on a particular chunk being selected, but only on there not being a retrieval failure. So in summary, there's a distribution of times for repeatedly retrieving the same chunk, described by the equation above, and then there's a distribution of times for selecting from a pool of chunks, described by the Weibull approximation. Unfortunately I don't have a copy of 'Atomic Components' on hand, so this is based on my rapidly decaying memory for chapter 3. Best, -Chris On Dec 20, 2005, at 8:35 PM, Rhiannon L Weaver wrote: > > In the Atomic Components of thought book it is mentioned that using > the > equation RT = Fe^{-(A + epsilon)} yields a Weibull distribution for > chunk > recall times (where RT = "retrieval time" and A + epsilon = noisy > activation of the chunk). > > Can someone point me to a proof of this? I am wondering if the > distribution arises conditional on the chunk being chosen? If I do a > straight transformation of variables assuming the variation comes > from the > logistic epsilon, I don't get a Weibull distribution, I get something > else, something that looks like quadratic decay in time. Help? > > Thanks, > -Rh > > Rhiannon Weaver > PhD student, Statistics > Carnegie Mellon University > > -------------------------- > Serenity lands September 30! http://www.serenitymovie.com > > > _______________________________________________ > 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 rlweaver at stat.cmu.edu Tue Dec 27 10:33:50 2005 From: rlweaver at stat.cmu.edu (Rhiannon L Weaver) Date: Tue, 27 Dec 2005 10:33:50 -0500 (EST) Subject: [ACT-R-users] Question about chunk recall times In-Reply-To: <20AEBF02-F949-490C-BAA1-D66CE572B777@rpi.edu> Message-ID: Hi Chris, That is the equation I get as well. It simplifies to a polynomial in x if you rearrange the exponents. I talked with John about this and I think I understand it a little bit better now. The Weibull distribution is coming from the Gumbel approximation to the distribution of a maximum of logistics. So I guess it is saying, the distribution of the retrieval time, conditional on the fact that the chosen value was a maximum of competing values, is approximated by the Weibull. I think, as you noted, the approximation is better when the activations of the chunks are close. Thanks for your input! -Rh On Tue, 27 Dec 2005, Chris R. Sims wrote: > Rhiannon, > > When I do the transformation I get the following for the PDF of > retrieval latencies, conditional on a chunk being selected: > > Rhiannon Weaver PhD student, Statistics Carnegie Mellon University -------------------------- Serenity lands September 30! http://www.serenitymovie.com