From hejibo at gmail.com Sat Apr 5 16:34:10 2008 From: hejibo at gmail.com (He Jibo) Date: Sat, 5 Apr 2008 15:34:10 -0500 Subject: [ACT-R-users] example of AGI Message-ID: Hello, I am going to model ATM transaction. So I need to make several windows for each steps of ATM transaction. But I do not know how to switch between windows in ACT-R. I read Dan's AGI introduction and find "select-exp-window" , "close-exp-window" should help this goal. But the material did not describe in details. Could anyone give me more materials about this , or send me examples how to use "select-exp-window" , "close-exp-window" in multi-window experiment? Thank you so much ! Have a nice weekend! Jibo -- Best Regards, He Jibo jibohe2 at cyrus.psych.uiuc.edu hejibo at gmail.com --------------------------- He Jibo Department of Psychology, Beckman Institute for Advanced Science and Technology University of Illinois, Urbana Champaign, 603 East Daniel St., Champaign, IL 61820 Tel: 217-244-4461(office) 217-244-6763(lab) Email: hejibo at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dennis.perzanowski at nrl.navy.mil Mon Apr 7 08:49:39 2008 From: dennis.perzanowski at nrl.navy.mil (Dennis Perzanowski) Date: Mon, 7 Apr 2008 08:49:39 -0400 Subject: [ACT-R-users] Summer student/Postdoc position Message-ID: We are developing an interaction model of how users characterize visual content and context in a networked video surveillance environment. This larger environment is the InterTrack video surveillance tool being developed jointly in research with investigators from the Naval Research Laboratory, Interactive Systems Group, Washington, DC; Washington University at St. Louis; and Rensselaer Polytechnic Institute. In such a model, user-directed actions and interactions need to be grounded for system-level reasoning. In other words, the system and the user need to share a common frame of reference or a common ground within which to interact; otherwise, achieving effective human-system collaboration is difficult. Current computational systems cannot compete with the level of complexity needed to achieve what humans naturally infer nor do they exchange contextual information easily to achieve successful task completion. A model that captures what humans do quite naturally must, therefore, be guided by principles of human contextual inference. Our primary goal is to produce an interaction model that achieves a level of inferential human-system collaboration that characterizes human- human interaction while minimizing excessive user interactions, a common complaint leveled against such systems. By proposing to develop such a model, we expect to address a core set of issues that are relevant for a range of human-machine interaction domains. To this end, we are seeking a summer student or postdoc to work at the Naval Research Laboratory. The position is available immediately and can be extended. Applicants for the summer position should contact Dr. Perzanowski (see below). Postdoc applicants need to apply via channels, e.g. the National Research Council. Dennis Perzanowski, Ph.D. Section Head, Interactive Systems (5512) Naval Research Laboratory 4555 Overlook Ave, SW Washington, DC 20375 Email: dennis.perzanowski at nrl.navy.mil Voice: 202.767.9005 Dennis Perzanowski, PhD Naval Research Laboratory Code 5512 Washington, DC 20375 voicemail: 202.767.9005 email: dennis.perzanowski at nrl.navy.mil fax: 202.767.3172 From nj_sima at yahoo.com Thu Apr 10 04:06:20 2008 From: nj_sima at yahoo.com (sima najafi) Date: Thu, 10 Apr 2008 01:06:20 -0700 (PDT) Subject: [ACT-R-users] ACT-R Learning Mechanisms Message-ID: <455105.37293.qm@web65502.mail.ac4.yahoo.com> Dear All, I have A question about ACT-R Learning Mechanisms. what i found till now has been the production compilation mechanism combining several existing rules into one. but i am looking for a mechanism to learn rules based on facts in the declarative memory specially in the first phase where no rules exist. is there any mechanism? Thanks __________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From db30 at andrew.cmu.edu Thu Apr 10 09:23:06 2008 From: db30 at andrew.cmu.edu (Dan Bothell) Date: Thu, 10 Apr 2008 09:23:06 -0400 Subject: [ACT-R-users] ACT-R Learning Mechanisms In-Reply-To: <455105.37293.qm@web65502.mail.ac4.yahoo.com> References: <455105.37293.qm@web65502.mail.ac4.yahoo.com> Message-ID: <1A437160BE5EA6FF8C775F1B@DHL8KLC1.psy.cmu.edu> --On Thursday, April 10, 2008 1:06 AM -0700 sima najafi wrote: > > Dear All, > I have A question about ACT-R Learning Mechanisms. > what i found till now has been the production compilation mechanism > combining several existing rules into one. but i am looking for a > mechanism to learn rules based on facts in the declarative memory > specially in the first phase where no rules exist. > is there any mechanism? > Thanks > There is no mechanism which can convert chunks into productions directly. However, the production compilation mechanism does specialize the productions it creates based on chunks which are retrieved. When combining two productions, if there is a retrieval request in the first production and that chunk is used in the second production then the production created from those two via production compilation incorporates the information from that chunk and does not require the retrieval from declarative memory. If you have not worked through the ACT-R tutorial, I would suggest looking at the demonstration model from unit 7. The paired-learning model in unit 7 shows how a very generic set of productions which are capable of retrieving instructions from declarative memory can lead to learning rules which are specific to a particular task. That process has been used to successfully model the learning of new tasks from declarative information in a variety of different situations. Dan From hejibo at gmail.com Fri Apr 11 17:19:42 2008 From: hejibo at gmail.com (He Jibo) Date: Fri, 11 Apr 2008 16:19:42 -0500 Subject: [ACT-R-users] model does not fire Message-ID: Hi, Everyone Could anyone help me to check why my model does not fire? The model is in interface.lisp. And I do not know why there is no response even if I click the buttons manually. If I delete all the productions in interface.lisp, and save it as interface_only.lisp, I can click the buttons and get response. Please click the following link to get interface.lisp and interface_only.lisp interface.lisp https://netfiles.uiuc.edu/jibohe2/interface.lisp?uniq=-z526l2 interface_only.lisp https://netfiles.uiuc.edu/jibohe2/interface_only.lisp?uniq=-z526kw And I also wish to know how to set the location of the GUI, because part of my interface is not displayed in the screen. Thank you so much ! Have a nice weekend! Jibo -- Best Regards, He Jibo hejibo at gmail.com jibohe2 at cyrus.psych.uiuc.edu --------------------------- He Jibo Department of Psychology, Beckman Institute for Advanced Science and Technology University of Illinois, Urbana Champaign, 603 East Daniel St., Champaign, IL 61820 Tel: 217-244-4461(office) 217-244-6763(lab) Email: hejibo at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From idoroll at cmu.edu Sat Apr 12 11:25:18 2008 From: idoroll at cmu.edu (Ido Roll) Date: Sat, 12 Apr 2008 11:25:18 -0400 Subject: [ACT-R-users] Deadline approaching - Workshop on Metacognition in Educational Technology Message-ID: A quick reminder that the deadline for submissions for the Workshop on Metacognition and Self-Regulated Learning in Educational Technology is APRIL 20th http://www.andrew.cmu.edu/user/iroll/workshops/its08/cfp.html Extensions will be given by request only. Looking forward to your contributions, Ido Roll and Vincent Aleven :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~: > > CALL FOR PAPERS > > The 3rd Workshop on Metacognition and Self-Regulated Learning in > Educational Technology > > in Intelligent Tutoring Systems (ITS) 2008, June 23-27, Montreal > > http://andrew.cmu.edu/~iroll/workshops/its08 > > Submission deadline: April 20 > > :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~: > > While educational technology has been shown to be effective at the domain, > cognitive level, similar success has not been achieved yet with regard to > tutoring better metacognitive and self regulation skills. A key question is > whether instructional technology can be as effective in fostering > metacognitive skills. > > The aim of the workshop, 3rd in a series, is to improve our understanding > of the design of goals, instruction, and assessment of tutoring > metacognition and self-regulated learning using educational technology. We > hope to spur in-depths discussion as well as foster a community built around > these topics. > > :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~: > > While all relevant submissions are welcome, authors are encouraged to > discuss aspects of measurement of metacognition and SRL in educational > technologies. Such aspects include, but are not limited to, the following: > - Capturing, recording, or extracting metacognitive aspects of > students' learning processes > - Interpreting and assessing metacognitive behavior > - Evaluating the effect of metacognitive feedback and interventions > - Designing tasks for metacognitive assessment > - Measuring metacognition over time or in changing contexts > - Qualitative vs quantitative methods to measure meta-cognitive > behavior > - Modeling metacognition > - Assessing metacognition in educational technologies compared to the > classroom or lab > - Relation between metacognitive measures and measures of learning, > motivation, and other measures of interest. > > :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~: > > IMPORTANT DATES: > > ? Submission deadline: April 20 > ? Reviews back to authors: May 19 > ? Camera ready deadline: May 23 > ? Workshop: June 23/24 > > :~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~: > > SUBMISSION GUIDELINES: > > We invite work at all stages of development. Papers can describe applied > systems, empirical results or theoretically grounded positions, and can > tackle any aspect of metacognitive goals, instruction, and assessment. > > All papers are expected to follow the general ITS 2008 submission > guidelines (http://gdac.dinfo.uqam.ca/its2008/). Papers must comply with > the LNCS formatting instructions ( > http://www.springer.com/computer/lncs?SGWID=0-164-2-72376-0), and should > not to exceed 5000 words. > > Papers will be peer reviewed by the workshop organizing committee. > Accepted papers will be included in the workshop proceedings and will be > published on the workshop webpage. Please send your paper via email (only > .odt, .doc, .rtf or .pdf format, please) to Ido Roll, idoroll at cmu.edu. > > Thank you, > > Workshop organizers: > ? Ido roll, Carnegie Mellon University > ? Vincent Aleven, Carnegie Mellon University > > Orgnizing committee: > ? Allan Collins, Northwestern University > ? Bracha Kramarski, Bar-Ilan University > ? Cristina Conati, University of British Colombia > ? Gautam Biswas, Vanderbilt University > ? Phil Winne, Simon Fraser University > ? Roger Azevedo, University of Memphis > ? Rose Luckin, University of Sussex > ? Ryan S.J.d. Baker, Carnegie Mellon University > ? Tanja Mitrovic, Canterbury University > > External Advisors > ? Alan Schoenfeld, University of California Berkeley > ? David Klahr, Carnegie Mellon University > :~:~:~:~: Ido Roll http://www.andrew.cmu.edu/~iroll/ Human Computer Interaction Institute Carnegie Mellon University Phone: (412) 268-8198 Fax: (412) 268-1266 300 S. Craig st. Pittsburgh, PA 15213 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Sat Apr 12 22:00:21 2008 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 12 Apr 2008 22:00:21 -0400 Subject: [ACT-R-users] Reminder: INNS Award nominations by May 1, 2008 Message-ID: **** Reminder: INNS Award nominations **** INNS (International Neural Networks Society; http://www.inns.org) has a well established awards program, designed to recognize individuals who have made outstanding contributions to the field of Neural Networks. Up to three awards, one in each of the following categories, are presented annually at IJCNN to senior individuals for outstanding contributions made to the field of Neural Networks. The Hebb Award - recognizes achievement in biological learning. The Helmholtz Award - recognizes achievement in sensation/perception. The Gabor Award - recognizes achievement in engineering/application. In addition, there is the Young Investigator Award: up to two awards are presented annually to individuals with no more than five years postdoctoral experience and who are under forty years of age, for significant contributions in the field of Neural Networks. The INNS Awards Committee is now inviting nominations for the 2009 Hebb, Helmholtz, and Gabor awards as well as the Young Investigator awards. You can find the details of the nomination procedure on the INNS Web page: http://www.inns.org; please click on "awards program". I would urge you to think of highly qualified candidates and send in formal nominations for them (see the INNS web page for the instructions). Please email the nominations (along with attachments) directly to the chair of the Awards Committee at rsun at rpi.edu by May 1, 2008. Ron Sun Chair, Awards Committee ======================================================== 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 D.H.van.Rijn at rug.nl Tue Apr 15 11:24:08 2008 From: D.H.van.Rijn at rug.nl (Hedderik van Rijn) Date: Tue, 15 Apr 2008 17:24:08 +0200 Subject: [ACT-R-users] Tenure Track Job Opportunity @ University of Groningen Message-ID: The department of Artificial Intelligence at the University of Groningen is seeking highly qualified applicants for a tenure track position in Computational Cognitive Neuroscience / Auditory Cognition. See: http://www.academictransfer.org/vacaturebank/zoeken/index.cfm?fuseaction=detail&vacature_id=HC8QFW6F&type=shortURLCode for the full description. I'm happy to answer any (informal) questions you might have. - Hedderik. From coty at cmu.edu Fri Apr 18 20:12:48 2008 From: coty at cmu.edu (Cleotilde Gonzalez) Date: Fri, 18 Apr 2008 19:12:48 -0500 (EST) Subject: [ACT-R-users] [Fwd: [Jdm-society] Choice prediction competitions] Message-ID: <1549.71.232.94.90.1208563968.squirrel@71.232.94.90> this might be of interest to some, Coty -- ---------------------------- Original Message ---------------------------- Subject: [Jdm-society] Choice prediction competitions From: "Ido Erev" Date: Thu, April 17, 2008 12:48 pm To: jdm-society at mail.sjdm.org -------------------------------------------------------------------------- Dear all. We write to invite you to participate in the three choice prediction competitions. The exact rules of the competitions are described on the competition website , (http://tx.technion.ac.il/~eyalert/Comp.html) The basic task in all three competitions is to predict choice between a safe prospect and a two-outcome gamble. Each competition will focus on a distinct experimental condition. The conditions are: 1. One shot decisions under risk (like the situation examined by Kahneman & Tversky, 1979) 2. One shot decisions from experience (as in Hertwig et al., 2004) 3. Repeated decisions from experience (as in Barron & Erev, 2003) We ran a large "estimation study" with randomly selected problems (from the space of problems described in the site) under each of these conditions. The data are presented on the competition website. The basic task in the competition is to predict choice behavior in a second study (the "competition study") that will examine a different set of problems to be selected randomly from the same space of problems. Thus, we use the generalization criterion methodology (see Busemeyer and Wang, 2000). To participate you will have to send us a computer program (in SAS, Visual Basic or MatLab) that reads the parameters of the choice problems and derives a prediction as an output. The prediction is a probability that the risky option will be chosen. In each competition, the program that minimizes Mean Squared Error between the predictions and observed subject outcomes over the randomly chosen problems will win. Ido will present the basic idea of the competition and will be happy to answer questions in the upcoming BDRM conference (April 25-26 in San Diego), and in the Conference on the Method of Modern Experimental Economics (April 27-28 in New York). The winners will be invited to be co-authors of a paper that summarizes the results (and will be submitted to the special issue of J of Behavioral Decision Making on Decisions from Experience). In addition the winner will be invited speakers in a special workshop that will be conducted in Israel in December 2008 (expenses up to $2000 per winner will be covered). Best, Ido Erev, Eyal Ert and Al Roth _______________________________________________ Jdm-society mailing list Jdm-society at mail.sjdm.org http://www.sjdm.org/mailman/listinfo/jdm-society -------------- next part -------------- An HTML attachment was scrubbed... URL: From mppsrikanth at gmail.com Tue Apr 22 17:20:01 2008 From: mppsrikanth at gmail.com (Srikanth) Date: Tue, 22 Apr 2008 16:20:01 -0500 Subject: [ACT-R-users] References on ACT-R and multi-agent modeling Message-ID: Greetings, I am seeking to use the ACT-R framework for modeling multiple agents that collaborate on a task. I am a novice when it comes to the ACT-R framework and only somewhat more familiar with LISP. I have searched through the past posts to this list and could find only one reference: Kim, S.-Y., Lodge, M., & Taber, C. (2004). A computational model of voter- The dynamics of political candidate evaluation. In *Proceedings of the sixth International Conference on Cognitive Modeling *(pp. 362-363). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. However, the paper does not discuss any details of the implementation except for a mention of 'use of sockets'. Any pointers regarding papers/tutorials that illustrate how ACT-R can be used for developing a multi-agent model would be greatly appreciated. Thank you. Srikanth. -------------- next part -------------- An HTML attachment was scrubbed... URL: From db30 at andrew.cmu.edu Wed Apr 23 00:18:54 2008 From: db30 at andrew.cmu.edu (Dan Bothell) Date: Wed, 23 Apr 2008 00:18:54 -0400 Subject: [ACT-R-users] References on ACT-R and multi-agent modeling In-Reply-To: References: Message-ID: <697D3EE8A4756EF3680EAEDC@[192.168.1.2]> --On Tuesday, April 22, 2008 4:20 PM -0500 Srikanth wrote: > Greetings, > I am seeking to use the ACT-R framework for modeling multiple agents that collaborate on a task. > I am a novice when it comes to the ACT-R framework and only somewhat more familiar with LISP. I > have searched through the past posts to this list and could find only one reference: > > Kim, S.-Y., Lodge, M., & Taber, C. (2004). A computational model of voter- The dynamics of > political candidate evaluation. In Proceedings of the sixth International Conference on Cognitive > Modeling (pp. 362-363). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. > > However, the paper does not discuss any details of the implementation except for a mention of > 'use of sockets'. Any pointers regarding papers/tutorials that illustrate how ACT-R can be used > for developing a multi-agent model would be greatly appreciated. > The first suggestion I have is to work through the ACT-R tutorial units and become more familiar with how to use the system. There aren't any multi-model examples in the tutorial, but the basic commands and operation of the system are the same regardless of whether there's one model or multiples. As far as multi-agent systems go, there isn't really a strong reference I can suggest. One of the biggest issues is how the experiment/environment in which the models will operate works. That can vary from something which you write yourself in Lisp to some external simulation system which has a specific API to which you have to connect. So, there can be a wide variety of issues to deal with and there isn't one solution which fits all cases. That said, ACT-R 6 supports running multiple models both synchronously (running on the same clock) and asynchronously (each with its own clock) "out of the box". There's nothing additional needed to run multiple models. There are two very simple examples of running multiple models in the examples directory of the ACT-R files. Both examples show all three models from unit 1 of the tutorial running together. The file unit-1-together-1-mp.cl shows the models running synchronously and the file unit-1-together-3-mp.cl sets them up to run asynchronously. The reference manual doesn't yet have a section on working with multiple models. However, the older framework-API document does cover some of the commands, like with-model and with-meta- process, which can help with running and debugging multi-model situations. Hope that helps, and if you have more questions or issues feel free to ask. Dan From rsun at rpi.edu Thu Apr 24 14:17:02 2008 From: rsun at rpi.edu (Professor Ron Sun) Date: Thu, 24 Apr 2008 14:17:02 -0400 Subject: [ACT-R-users] Fwd: ACT-R-users Digest, Vol 33, Issue 9 References: Message-ID: <732ACFA6-438F-40C8-8AF7-738A1A4DDBE6@rpi.edu> > I am seeking to use the ACT-R framework for modeling multiple > agents that > collaborate on a task. I am a novice when it comes to the ACT-R > framework > and only somewhat more familiar with LISP. I have searched through > the past > posts to this list and could find only one reference: > > Kim, S.-Y., Lodge, M., & Taber, C. (2004). A computational model of > voter- > The dynamics of political candidate evaluation. In *Proceedings of > the sixth > International Conference on Cognitive Modeling *(pp. 362-363). > Pittsburgh, > PA: Carnegie Mellon University/University of Pittsburgh. > > However, the paper does not discuss any details of the > implementation except > for a mention of 'use of sockets'. Any pointers regarding papers/ > tutorials > that illustrate how ACT-R can be used for developing a multi-agent > model > would be greatly appreciated. > > Thank you. > Srikanth. > you might want to take a look at this book: Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation published by Cambridge U. Press http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=0521839645 it has a few relevant chapters. cheers, ======================================================== 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 mppsrikanth at gmail.com Fri Apr 25 13:31:43 2008 From: mppsrikanth at gmail.com (Srikanth) Date: Fri, 25 Apr 2008 12:31:43 -0500 Subject: [ACT-R-users] ACT-R-users Digest, Vol 33, Issue 10 In-Reply-To: References: Message-ID: Dr. Sun, Thank you for your reply. I have been indeed referring to the book that you cited. Srikanth. On Fri, Apr 25, 2008 at 11:00 AM, wrote: > Send ACT-R-users mailing list submissions to > act-r-users at act-r.psy.cmu.edu > > To subscribe or unsubscribe via the World Wide Web, visit > http://act-r.psy.cmu.edu/mailman/listinfo/act-r-users > or, via email, send a message with subject or body 'help' to > act-r-users-request at act-r.psy.cmu.edu > > You can reach the person managing the list at > act-r-users-owner at act-r.psy.cmu.edu > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of ACT-R-users digest..." > > > Today's Topics: > > 1. Fwd: ACT-R-users Digest, Vol 33, Issue 9 (Professor Ron Sun) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Thu, 24 Apr 2008 14:17:02 -0400 > From: Professor Ron Sun > Subject: [ACT-R-users] Fwd: ACT-R-users Digest, Vol 33, Issue 9 > To: act-r-users at act-r.psy.cmu.edu > Cc: Professor Ron Sun > Message-ID: <732ACFA6-438F-40C8-8AF7-738A1A4DDBE6 at rpi.edu> > Content-Type: text/plain; charset=US-ASCII; delsp=yes; format=flowed > > > > I am seeking to use the ACT-R framework for modeling multiple > > agents that > > collaborate on a task. I am a novice when it comes to the ACT-R > > framework > > and only somewhat more familiar with LISP. I have searched through > > the past > > posts to this list and could find only one reference: > > > > Kim, S.-Y., Lodge, M., & Taber, C. (2004). A computational model of > > voter- > > The dynamics of political candidate evaluation. In *Proceedings of > > the sixth > > International Conference on Cognitive Modeling *(pp. 362-363). > > Pittsburgh, > > PA: Carnegie Mellon University/University of Pittsburgh. > > > > However, the paper does not discuss any details of the > > implementation except > > for a mention of 'use of sockets'. Any pointers regarding papers/ > > tutorials > > that illustrate how ACT-R can be used for developing a multi-agent > > model > > would be greatly appreciated. > > > > Thank you. > > Srikanth. > > > > you might want to take a look at this book: > Cognition and Multi-Agent Interaction: From Cognitive Modeling to > Social Simulation > > published by Cambridge U. Press > > http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=0521839645 > > it has a few relevant chapters. > > cheers, > > ======================================================== > 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 > ======================================================= > > > > > > > > > ------------------------------ > > _______________________________________________ > 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 > > > End of ACT-R-users Digest, Vol 33, Issue 10 > ******************************************* > -------------- next part -------------- An HTML attachment was scrubbed... URL: From cl at cmu.edu Tue Apr 29 16:09:29 2008 From: cl at cmu.edu (Christian Lebiere) Date: Tue, 29 Apr 2008 16:09:29 -0400 Subject: [ACT-R-users] Research Positions in Cognitive Modeling at Carnegie Mellon University Message-ID: Research Positions in Cognitive Modeling at Carnegie Mellon University Applications are welcome for research positions in the Psychology Department at Carnegie Mellon University under the direction of Dr. Christian Lebiere. The goal of the project is to investigate and model synergies in large human-machine networked systems. The project is funded for 3 to 5 years by a MURI (Multidisciplinary University Research Initiative) grant from the Air Force Office of Scientific Research. Specific areas of interest include but are not limited to: 1) empirically investigate cognitive phenomena arising from the interaction of sizable number of human and machine decision-makers in large networked information environments; 2) develop high-fidelity cognitive models of these phenomena using the ACT-R cognitive architecture for tasks including information processing and fusion, planning and scheduling and management and control of human and machine assets; and 3) relate together a hierarchy of cognitive modeling paradigms of various fidelity and complexity to provide effective solutions for better network design in order to improve situation awareness and decision making. Positions include postdoctoral researcher, research programmer and research assistant. Responsibilities of the postdoctoral researcher include experiment design and supervision, data analysis, development of cognitive models, and manuscript preparation and presentation. Requirements include a Ph.D. in cognitive science, computer science or psychology with cognitive modeling experience, preferably but not exclusively using the ACT-R cognitive architecture, and research interests in high-level cognition and human-computer interaction. Responsibilities of the research programmer include development and documentation of software for interactive simulations of complex tasks and their interfacing with cognitive architectures. Programming experience, especially in Lisp, and a background in artificial intelligence or cognitive modeling are preferred but not essential. Responsibilities of the research assistant include conducting experiments, data analysis and support of manuscript preparation. Experience in experimental psychology is preferred. These positions are open immediately and offer competitive salary and benefits. Carnegie Mellon University offers a stimulating research environment in livable Pittsburgh, Pennsylvania. To apply or obtain additional information, contact (email preferred): Dr. Christian Lebiere Psychology Department Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Tel: 412-268-6028 Email: cl at cmu.edu From Kevin.Gluck at mesa.afmc.af.mil Tue Apr 29 18:50:57 2008 From: Kevin.Gluck at mesa.afmc.af.mil (Gluck, Kevin A Civ USAF AFMC AFRL/RHAT) Date: Tue, 29 Apr 2008 18:50:57 -0400 Subject: [ACT-R-users] FW: ONR job opportunity in Human Performance. Deadline is May 4 Message-ID: Forwarding on behalf of Terry Allard, who just accepted a position at ONR as Head of the Warfighter Performance Science and Technology Department. -----Original Message----- From: Terry.Allard at faa.gov [mailto:Terry.Allard at faa.gov] Colleagues-- Here is an exciting job opportunity to work at the Office of Naval Research as a research program officer in the Human Performance Division (ONR 341). ONR is a great place where a single individual can have a significant impact on science and technology directions. ONR HQ is in the metropolitan DC area (Arlington VA) but my understanding is that competitive candidates might be able to work out of different locations across the country. Please circulate to interested parties. Deadline for application is May 4th. Check USAjobs.gov and search Announcement #: NE-DE-ONR-08-0331-FL --Terry Allard ______________________ Sent: Tuesday, April 08, 2008 15:24 Subject: EMPLOYMENT OPPORTUNITY - RESEARCH PSYCHOLOGIST, GS-0180-13/14/15 (Release authorized and approved by Jill L. Blackwell, Deputy Director, Civilian Personnel Programs) EMPLOYMENT OPPORTUNITY Applications are currently being accepted thru 04 May 2008 for the following position under the Delegated Examining (DE) hiring authority. Position: Research Psychologist, GS-0180-13/14/15 Salary: $82,961 - $107,854 per annum (GS-13) $93,822 - $121,967 per annum (GS-14) $110,363 - $143,471 per annum (GS-15) Location: Office of Naval Research, Life Sciences Research Division, Warfighter Performance S&T Department, Arlington, VA Area of Consideration: U.S. Citizens and Nationals (Open to the Public) Announcement #: NE-DE-ONR-08-0331-FL DUTIES: The incumbent will plan, evaluate, initiate and direct basic research, exploratory development and advanced development projects which are essential in the areas of research psychology and human factors. Specific technical and programmatic fields or applications include, but are not limited to cognitive and social neuroscience, human decision making, methods for assessing individual cognitive workload, models for human-computer interaction and simulation technology. Incumbent will also establish program goals, overall program objectives and tasks while recognizing promising new scientific and technological concepts and findings in their infancy and evaluate their feasibility for and applicability to DON missions. QUALIFICATIONS: To qualify for this position, applicants must meet the qualification requirements for the 0180 series in accordance with the Office of Personnel Management (OPM) Qualifications Standards Operating Manual. HOW TO APPLY For additional information, the flyer for this vacancy can be located on the USAJobs website - http://jobsearch.usajobs.gov Interested candidates should e-mail their resume to code52resumix.ne at navy.mil. Please be sure to annotate the Vacancy Announcement Number NE-DE-ONR-08-331-FL in the subject line. You will need to copy your resume into the body of the e-mail. (no attachments please) Resumes must be received no later than the closing date of the announcement. Faxed resumes will not be accepted. Use of government paid postage is not permitted for the submission of resumes or related correspondence. For additional assistance, please contact Ms. Misty Hayes, servicing HR Specialist by e-mail - misty.hayes at navy.mil or by phone at 703-696-0749. The Department of the Navy is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, sex, national origin, age, disability, marital status, political affiliation, sexual orientation, or any other non-merit factor. From jakebeal at MIT.EDU Wed Apr 30 09:05:28 2008 From: jakebeal at MIT.EDU (Jacob S Beal) Date: Wed, 30 Apr 2008 09:05:28 -0400 Subject: [ACT-R-users] Reminder: Submit to AAAI Symposium on Naturally-Inspired Artificial Intelligence Message-ID: <200804301305.m3UD5S8c026746@no-knife.mit.edu> This is a reminder that the submission deadline for the AAAI symposium "Naturally-Inspired Artificial Intelligence," is coming up soon, on May 15th. I'm enclosing a copy of the Call for Papers for the symposium, which is running at the AAAI Fall 2008 Symposium Series in Washington D.C. on November 7-9th. Thanks, -Jake Beal (Postdoctoral Associate, MIT CSAIL, on behalf of the organizing committee) CALL FOR PAPERS AAAI Fall 2008 Symposium on Naturally-Inspired Artificial Intelligence The divide between how biological and computational systems solve cognitive problems and adjust to novel circumstances is readily apparent. While animals display marked flexibility in adjusting to new situations, our current computational approaches excel in well-defined, formally structured domains. We are interested in new approaches to bridging this gap. Our perspective is that studies of natural and artificial intelligences can and should be mutually informative. Even young animals solve historically difficult computational problems, and we believe understanding how they do this will enable the creation of more sophisticated artificial systems. Conversely, computational models provide structure and insight into understanding animal learning and cognition. By combining biological and computational perspectives, we expect to obtain new insights that further the classical goals of artificial intelligence. This symposium is intended to bring together researchers working on models that pertain directly to both natural and machine cognition. Particular methodology, motivation, or implementation decisions do not constrain our interests---we expect that relevant work may touch on themes as diverse as human experiments, neural models, engineering of complex systems, mathematical analysis, programming language design, and high-level cognitive models, to name only a few possibilities. We are interested in any work that has a clearly described relationship between a line of investigation and the larger problem of producing computational models that illuminate the peculiar nature and capabilities of cognition. Participants are invited to submit either a position paper or a brief report on relevant work. Topics of particular interest include, but are not limited to: * Approaches to attaining breadth and flexibility * Systems or models incorporating multiple cognitive capabilities * Applying models of natural intelligence to engineered systems, or vice versa * Case histories of recent success or interesting failure in crossing between these fields * Near-term tractable problems deserving of greater attention * Experimental techniques and measurement strategies The symposium will mix short talks from participants with extensive discussion on the challenges of doing research relevant to both natural and artificial systems. Note: a related but different symposium is being run by Alexei Samsonovich. Our schedule will likely include a joint session, contents to be determined. Submissions: Those interested in participating in this symposium should send either a full paper (8 pages maximum) or a position paper (1-2 pages) in AAAI format in PDF to natural-intelligence at csail.mit.edu. Please direct all questions to natural-intelligence at csail.mit.edu. Important Dates: May 15: Submission deadline June 6: Notification of acceptance November 7-9: Symposium held in Washington, DC Organizers: Dr. Jacob Beal (MIT) Dr. Paul Bello (ONR) Prof. Nick Cassimatis (Rensselaer Polytechnic Institute) Prof. Michael Coen (University of Wisconsin-Madison) Prof. Patrick Winston (MIT) From Hongbin.Wang at uth.tmc.edu Wed Apr 30 10:31:18 2008 From: Hongbin.Wang at uth.tmc.edu (Hongbin Wang) Date: Wed, 30 Apr 2008 09:31:18 -0500 Subject: [ACT-R-users] A Post-Doctoral Position is available at University of Texas Health Science Center at Houston Message-ID: <6101F46D-74C7-43E1-ABA9-003F354078E1@uth.tmc.edu> A Post-Doctoral Position is available at University of Texas Health Science Center at Houston A post-doctoral position is available in the School of Health Information Sciences (SHIS), University of Texas Health Science Center at Houston (UTH). The group?s main research interests are in the area of cognitive science. Taking an integrated approach (behavioral, functional neuroimaging, and computational modeling), we study issues related to human attention and decision-making. A few currently on-going projects include: a) Modeling human spatial cognition, where we want to understand how the brain and the mind acquire, represent, and use spatial information, and develop psychologically plausible computational models; b) Understanding human attention, where we explore how different types of attention operate distinctively as well as interactively, and how we may exploit the taxonomy to affect human performance; and c) Uncertainty management, where we are interested in understanding how the brain and the mind perceive and process probabilistic information and risk, especially in the context of decision-making and game theory. You are welcome to join us if you have a background in cognitive psychology, neuroimaging, computer science, mathematics, biomedical signal processing, or related disciplines, and are interested in integrated empirical and computational modeling research. The lab possesses EEG and eye-tracking equipments. We locate in Houston Texas Medical Center, the largest medical center in the world. To apply or for more information, please contact Dr. Hongbin Wang via email at Hongbin.Wang at uth.tmc.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: